We investigate whether nudges can serve as in-the-moment support for youth online safety through a qualitative Wizard-of-Oz study with 19 adolescents (ages 13–19) using a realistic social media simulation (“SocialSim”). Even before nudges were introduced, participants demonstrated safety competence by interpreting social cues and using protective strategies. When nudges appeared, teens responded differently depending on risk severity and context; they relied on nudge guidance in high-risk, ambiguous situations (e.g., exposure to explicit content), while preferring to exercise their own judgement in lower-risk scenarios (e.g., information requests). We found that nudges were most effective when framed as developmental teaching moments that increased risk awareness and offered actionable advice while preserving autonomy. Participants emphasized proportionality, personalization, and trustworthy risk detection, and cautioned against overly restrictive interventions. Using a Social Information Processing (SIP) framework, this work informs the design of in-the-moment supports that foster adolescents’ decision-making, resilience, and self-regulation online.

Ecological Momentary Assessment (EMA) is widely used to study adolescents’ experiences; yet, how the design of EMA platforms shapes engagement, research practices, and power dynamics in youth studies remains under-examined. We developed a youth-centered EMA platform prioritizing youth engagement and researcher support, and evaluated it through a case study on a longitudinal investigation with adolescent twins focused on mental health and sleep behavior. Interviews with the research team examined how the platform design choices shaped participant onboarding, sustained engagement, risk monitoring, and data interpretation. The app’s teen-centered design and gamified features sustained teen engagement, while the web portal streamlined administrative oversight through a centralized dashboard. However, technical instability and rigid data structures created significant hurdles, leading to privacy concerns among parents and complicating the researchers’ ability to analyze raw usage metadata. We provide actionable interaction design guidelines for developing EMA platforms that prioritize youth agency, ethical practice, and research goals.

Although social media use is ubiquitous among adolescents, research often emphasizes benefits and risks without considering the design-based affordances that may influence these experiences. Affordances enable or constrain user behavior and thus provide a valuable lens for promoting positive online engagement. To this end, we developed an affordance-centered framework and systematically coded 66 empirical studies on U.S. adolescents published in the past decade to map how platform features relate to specific user activities, the affordances they instantiate, and associated benefits and risks. For instance, Discoverability affordance, driven by algorithmic recommendations, supported Cognitive engagement by facilitating learning while heightening exposure to misinformation. Visibility affordance enabled Identity exploration through ephemeral sharing, lowering performance anxiety but raising post-disclosure regret when content reached hostile viewers. By clarifying how specific affordances facilitate adolescent experiences, our work contributes a design-grounded framework for future research that advances both theoretical understanding and the development of youth-centered interventions.

In addressing various risks on social media, the HCI community has advocated for teen-centered risk detection technologies over platform-based, parent-centered features. However, their real-world viability remains underexplored by secondary stakeholders beyond the family unit. Therefore, we present an evaluation of a teen-centered social media risk detection dashboard through online interviews with 33 online safety experts. While experts praised our dashboard’s clear design for teen agency, their feedback revealed five primary tensions in implementing and sustaining such technology: objective vs. context-dependent risk definition, informing risks vs. meaningful intervention, teen empowerment vs. motivation, need for data vs. data privacy, and independence vs. sustainability. These findings motivate us to rethink “teen-centered” and a shift from a “fail fast” to a “mature safely” paradigm for youth safety technology innovation. We offer design implications for addressing these tensions before system deployment with teens and strategies for aligning secondary stakeholders’ interests to deploy and sustain such technologies in the broader ecosystem of youth online safety.

Cybergrooming is a form of online abuse that threatens teens’ mental health and physical safety. Yet, most prior work has focused on detecting perpetrators’ behaviors, leaving a limited understanding of how teens might respond to such unwanted advances. To address this gap, we conducted an online survey with 74 participants—51 parents and 23 teens—who responded to simulated cybergrooming scenarios in two ways: responses that they think would make teens more vulnerable or resilient to unwanted sexual advances. Through a mixed-methods analysis, we identified four types of vulnerable responses (encouraging escalation, accepting an advance, displaying vulnerability, and negating risk concern) and four types of protective strategies (setting boundaries, directly declining, signaling risk awareness, and leveraging avoidance techniques). As the cybergrooming risk escalated, both vulnerable responses and protective strategies showed a corresponding progression. This study contributes a teen-centered understanding of cybergrooming, a labeled dataset, and a stage-based taxonomy of perceived protective strategies, while offering implications for educational programs and sociotechnical interventions.

Cybergrooming is an evolving threat to youth, requiring proactive educational interventions. We address this by modeling dialogue progression as a structured planning problem over stage-wise interactions. We propose StagePilot, a dialogue framework that separates stage-level planning from response generation, in which the model selects the next stage under constrained transitions and generates responses conditioned on it, enabling coherent and realistic progression. Reinforcement learning is used to learn stage-level policies from offline data, optimizing for both emotional alignment and goal-consistent progression. Our empirical experiments show that StagePilot generates more structured, coherent dialogue trajectories and reduces conversational stagnation compared to baselines; notably, the IQL+AWAC variant reaches the final stage more often while maintaining over 70% positive or neutral responses, yielding a 43% relative improvement.

Understanding how social interactions affect privacy management is important in today’s digital landscape. We are investigating collective management of privacy and security through a mobile application, CO-oPS, that allows people to view and discuss each other’s app privacy settings within a community of users. Sixteen small, self-organized groups, totaling 81 participants, used the app over a four-week period. Data collection included pre- and post-study surveys measuring privacy perceptions (Community Belonging, Self-Efficacy, Community Collective Efficacy) along with in-app behavioral logs (messaging and viewing activity). In this paper, we present a social network analysis of our field study data, exploring the effects of group formation and engagement on building privacy and security efficacy through CO-oPS interactions. Our analysis reveals that while privacy perceptions were not initially homophilous, they grew more similar over time. Notably, proactively messaging others in the app enhanced personal privacy management confidence. Our results demonstrate the nuanced ways that groups can influence each other in addressing security and privacy needs.

Social media platforms have faced increasing scrutiny over whether and how they protect youth online. While online risks to children have been well-documented by prior research, how social media platforms communicate about these risks and their efforts to improve youth safety have not been holistically examined. To fill this gap, we analyzed N = 352 press releases and safety-related blogs published between 2019 and 2024 by four platforms popular among youth: YouTube, TikTok, Meta (Facebook and Instagram), and Snapchat. Leveraging both inductive and deductive qualitative approaches, we developed a comprehensive framework of seven problem areas where risks arise, and social media platforms claim to address these risks through various online safety features. Our analysis revealed uneven emphasis across problem areas, with most communications focused on Content Exposure and Interpersonal Communication, whereas less emphasis was placed on Content Creation, Data Access, and Platform Access. Additionally, we identified three problematic communication practices related to their described safety features, including discrepancies between feature implementation and availability, unclear or inconsistent explanations of safety feature operation, and a lack of evidence regarding the effectiveness of safety features in mitigating risks once implemented. Based on these findings, we discuss the communication gaps between risks and the described safety features, as well as the tensions in achieving transparency in platform communication. Our analysis of platform communication informs guidelines for responsibly communicating about youth safety features.

On social media, teens must manage their interpersonal boundaries not only with other people, but also with the algorithms embedded in these platforms.In this context, we engaged seven teens in an Asynchronous Remote Community (ARC) as part of a multi-year Youth Advisory Board (YAB) to discuss how they navigate, cope, and co-design for improved boundary management.Teens had preconceived notions of different platforms and navigated boundaries based on specific goals; yet, they struggled when platforms lacked the granular controls needed to meet their needs.Teens enjoyed the personalization afforded by algorithms, but they felt violated when algorithms pushed unwanted content.Teens designed features for enhanced control over their discoverability and for real-time risk detection to avoid boundary turbulence.We provide design guidelines for improved social media boundary management for youth and pinpoint educational opportunities to enhance teens' understanding and use of social media privacy settings and algorithms.

GitHub is one of the largest open-source software (OSS) communities for software development and collaboration. Impersonation in the OSS communities refers to the malicious act of assuming another user's identity, often aiming to gain unauthorized access to code, manipulate project outcomes, or spread misinformation. With several recent real-world attacks resulting from impersonation, this issue is becoming more and more concerning within the OSS community. We present the first exploration of the impact of impersonation in GitHub. Specifically, we conduct structured interviews with 17 real-world OSS contributors about their perception of impersonation and corresponding mitigations. Our study reveals that, in general, GitHub users lack awareness of impersonation and underestimate the severity of its implications. After witnessing a demo of impersonation, they show significant concern for the OSS community. Meanwhile, we also demonstrate that the current best practices (i.e., commit signing) that might mitigate impersonation must be improved to encourage use and adoption. We also present and discuss participant perceptions of potential ways to mitigate GitHub impersonation. We collect a dataset comprising 12.5 million commits to investigate the current status of impersonation. Interestingly, we find out that currently impersonation cannot be easily detected. We observe that existing commit histories treat impersonation behavior identically to pull request events, resulting in a lack of detection methods for impersonation.

Ensuring the online safety of youth has motivated research towards the development of machine learning (ML) methods capable of accurately detecting social media risks after-the-fact. However, for these detection models to be effective, they must proactively identify high-risk scenarios (e.g., sexual solicitations, cyberbullying) to mitigate harm. This `real-time' responsiveness is a recognized challenge within the risk detection literature. Therefore, this paper presents a novel two-level framework that first uses reinforcement learning to identify conversation stop points to prioritize messages for evaluation. Then, we optimize state-of-the-art deep learning models to accurately categorize risk priority (low, high). We apply this framework to a time-based simulation using a rich dataset of 23K private conversations with over 7 million messages donated by 194 youth (ages 13-21). We conducted an experiment comparing our new approach to a traditional conversation-level baseline. We found that the timeliness of conversations significantly improved from over 2 hours to approximately 16 minutes with only a slight reduction in accuracy (0.88 to 0.84). This study advances real-time detection approaches for social media data and provides a benchmark for future training reinforcement learning that prioritizes the timeliness of classifying high-risk conversations.

Youth, while tech-savvy and highly active on social media, are still vulnerable to online privacy and security risks. Therefore, it is critical to understand how they negotiate and manage social connections versus protecting themselves in online contexts. In this work, we conducted a thematic analysis of 1,318 private conversations on Instagram from 149 youth aged 13-21 to understand the digital privacy and security topics they discussed, if and how they engaged in risky privacy behaviors, and how they balanced the benefits and risks (i.e., privacy calculus) of making these decisions. Overall, youth were forthcoming when broaching a wide range of topics on digital privacy and security, ranging from password management and account access challenges to shared experiences of being victims of privacy risks. However, they also openly engaged in risky behaviors, such as sharing personal account information with peers and even perpetrating privacy and security risks against others. Nonetheless, we found many of these behaviors could be explained by the unique ''privacy calculus'' of youth, where they often prioritized social benefits over potential risks; for instance, youth often shared account credentials with peers to foster social connection and affirmation. As such, we provide a nuanced understanding of youth decision-making regarding digital security and privacy, highlighting both positive behaviors, tensions, and points of concern. We encourage future research to continue to challenge the potentially untrue narratives regarding youth and their digital privacy and security to unpack the nuance of their privacy calculus that may differ from that of adults.

Academic research is largely an adult endeavor that creates systemic power imbalances when studying teen-centered topics, such as adolescent online safety. To rectify this problem, we engaged seven teens as co-researchers through a year-and-a-half-long Youth Advisory Board (YAB) program to critically assess our research processes, lead online safety solutions, and to reflect on their experiences participating in a YAB. Teens pushed back on standard research practices such as parental consent, sought decision-making power in study documentation, design, and execution, and gave more meaningful feedback on research protocols when more deeply involved in the research. For safety interventions, teens proposed both incremental changes for social media platforms (e.g., advanced privacy settings) and more disruptive changes (e.g., decentralized social media platforms) that enhance individual control, digital resilience, and equity. For the YAB, teens highlighted challenges, such as losing momentum over time, lack of collaborative opportunities, and competing interests, fueling frustrations and rifts in engagement. Our research underscores the value of involving teens as co-partners in shaping online safety research. Finally, we provide design implications for social media safety interventions that strengthen teens' agency and actionable guidelines for developing future long-term programs to ensure meaningful contributions to online safety research.

We analyzed 1,596 sub-conversations within 451 direct message (DM) conversations from 67 teens (ages 13-17) who engaged in private discussions about body image on Instagram. Our findings show that teens often receive support when sharing struggles with negative body image, participate in criticism when engaging in body-shaming, and are met with appreciation when promoting positive body image. Additionally, these types of disclosures and responses varied based on whether the conversations were one-on-one or group-based. We found that sharing struggles and receiving support most often occurred in one-on-one conversations, while body shaming and negative interactions often occurred in group settings. A key insight of the study is that private social media settings can significantly influence how teens discuss and respond to body image issues. Based on these findings, we propose design guidelines for social media platforms that can foster positive interactions around body image, ultimately creating a healthier and more supportive online environment for teens struggling with body image concerns.

The SIGCHI and Social Computing research communities have been at the forefront of online safety efforts for youth, ranging from understanding the serious risks youth face online to developing evidence-based interventions for risk protection. Yet, to bring these efforts to bear, we must partner with practitioners, such as industry stakeholders who know how to bring such technologies to market, and youth service providers who work directly with youth. Therefore, we interviewed 33 stakeholders in the space of youth online safety, including industry professionals (n=12), youth service providers (n=11), and researchers (n=10) to understand where their visions toward working together to protect youth online converged and surfaced tensions, as well as how we might reconcile conflicting viewpoints to move forward as one community with synergistic expertise on how to change the current sociotechnical landscape for youth online safety. Overall, we found that non-partisan leadership is necessary to chart actionable, equitable goals to facilitate collaboration between stakeholders, combat feelings of isolation, and foster trust between the stakeholder groups. Based on these findings, we recommend the use of open-innovation methods with their inherent transparency, federated governance models, and clear but inclusive leadership structures to promote collaboration between youth online safety stakeholders. We propose the creation of an open-innovation organization that unifies the diverse voices in youth online safety to develop open-standards and evidence-based design patterns that centralize otherwise fragmented efforts that have fallen short of the goal of effective technological solutions that keep youth safe online.

Youth implicated in the child welfare and juvenile justice systems, as well as those with an incarcerated parent, are considered the most vulnerable Children in Need of Services (CHINS). We identified 1,160 of these at-risk youth (ages 13-17) who sought support via an online peer support platform to understand their adverse childhood experiences and explore how the internet played a role in providing an outlet for support, as well as potentially facilitating risks. We first analyzed posts from 1,160 youth who self-identified as CHINS while sharing about their adverse experiences. Then, we retrieved all 239,929 posts by these users to identify salient topics within their support-seeking posts: 1) Urges to self-harm due to social drama, 2) desire for social connection, 3) struggles with family, and 4) substance use and sexual risks. We found that the internet often helped facilitate these problems; for example, the desperation for social connection often led to meeting unsafe people online, causing additional trauma. Family members and other unsafe people used the internet to perpetrate cyberabuse, while CHINS themselves leveraged online channels to engage in illegal and risky behavior. Our study calls for tailored support systems that address the unique needs of CHINS to promote safe online spaces and foster resilience to break the cycle of adversity. Empowering CHINS requires amplifying their voices and acknowledging the challenges they face as a result of their adverse childhood experiences.

We conducted a 4-week field study with 101 smartphone users who self-organized into 22 small groups of family, friends, and neighbors to use "CO-oPS," a mobile app for co-managing mobile privacy and security. We differentiated between those who provided oversight (i.e., caregivers) and those who did not (i.e., caregivees) to examine differential effects on their experiences and behaviors while using CO-oPS. Caregivers reported higher power use, community trust, belonging, collective efficacy, and self-efficacy than caregivees. Both groups' self-efficacy and collective efficacy for mobile privacy and security increased after using CO-oPS. However, this increase was significantly stronger for caregivees. Our research demonstrates how community-based approaches can benefit people who need additional help managing their digital privacy and security. We provide recommendations to support community-based oversight for managing privacy and security within communities of different roles and skills.

Online dating platforms have gained widespread popularity as a means for individuals to seek potential romantic relationships. While recommender systems have been designed to improve the user experience in dating platforms by providing personalized recommendations, increasing concerns about fairness have encouraged the development of fairness-aware recommender systems from various perspectives (e.g., gender and race). However, sexual orientation, which plays a significant role in finding a satisfying relationship, is under-investigated. To fill this crucial gap, we propose a novel metric, Opposite Gender Interaction Ratio (OGIR), as a way to investigate potential unfairness for users with varying preferences towards the opposite gender. We empirically analyze a real online dating dataset and observe existing recommender algorithms could suffer from group unfairness according to OGIR. We further investigate the potential causes for such gaps in recommendation quality, which lead to the challenges of group quantity imbalance and group calibration imbalance. Ultimately, we propose a fair recommender system based on re-weighting and re-ranking strategies to respectively mitigate these associated imbalance challenges. Experimental results demonstrate both strategies improve fairness while their combination achieves the best performance towards maintaining model utility while improving fairness.

Computer-Based Open-Ended Learning Environments (OELEs) are designed to challenge learners to become proficient problem-solvers and develop the ability to independently solve complex problems. However, the traditional focus of OELE research has been on demonstrating overall learning gains, potentially overlooking students who struggle in these environments. To address this gap, we take a social justice-based approach by studying 99 sixth-grade students who participated in a week-long classroom study. We first assessed learning outcomes across all then identified 20 students who failed to do well. We qualitatively analyzed video recordings of their interactions with the OELE to understand why they struggled and to determine if interface issues inhibited their learning. Five themes emerged: (1) challenges in knowledge acquisition; (2) challenges in scaffolding learning; (3) disregarding system guidance, (4) not leveraging supporting tools; (5) and getting discouraged by incorrect answers. Based on our findings, we make design recommendations for OELEs to better support underserved learners, recognizing that failure is an important catalyst for motivating improvements in child-centered design.

While risk is highly subjective, especially when it comes to the private online interactions of youth, third-party annotations are often performed to identify risky content. Therefore, we conducted a mixed-methods study to examine if, how, and why risk perceptions might differ between youth and third-party annotators who were research assistants (RAs). We first asked 100 youth to share their Instagram private messages and flag media that made them feel unsafe. Then, we had RAs annotate the same media to identify what they thought was unsafe or risky. Compared to RAs, youth tended to flag images as risky when they perceived targeted harassment towards them or unwanted solicitations from strangers. In contrast, RAs were more likely to risk-flag sexual images with a humorous undertone shared among friends. Our findings highlight the differences between how online risks are perceived by youth compared to RAs. We provide recommendations for assessing online risks based on multiple perspectives to inform future youth-centered risk mitigation approaches.

HCI research has been at the forefront of designing interventions for protecting teens online; yet, how can we test and evaluate these solutions without endangering the youth we aim to protect? Towards this goal, we conducted focus groups with 20 teens to inform the design of a social media simulation platform and study for evaluating online safety nudges co-designed with teens. Participants evaluated risk scenarios, personas, platform features, and our research design to provide insight regarding the ecological validity of these artifacts. Teens expected risk scenarios to be subtle and tricky, while also higher in risk to be believable. The teens iterated on the nudges to prioritize risk prevention without reducing autonomy, risk coping, and community accountability. For the simulation, teens recommended using transparency with some deceit to balance realism and respect for participants. Our meta-level research provides a teen-centered action plan to evaluate online safety interventions safely and effectively.

Recent increases in self-harm and suicide rates among youth have coincided with prevalent social media use; therefore, making these sensitive topics of critical importance to the HCI research community. We analyzed 1,224 direct message conversations (DMs) from 151 young Instagram users (ages 13-21), who engaged in private conversations using self-harm and suicide-related language. We found that youth discussed their personal experiences, including imminent thoughts of suicide and/or self-harm, as well as their past attempts and recovery. They gossiped about others, including complaining about triggering content and coercive threats of self-harm and suicide but also tried to intervene when a friend was in danger. Most of the conversations involved suicide or self-harm language that did not indicate the intent to harm but instead used hyperbolical language or humor. Our results shed light on youth perceptions, norms, and experiences of self-harm and suicide to inform future efforts towards risk detection and prevention.

Accurate real-time risk identification is vital to protecting social media users from online harm, which has driven research towards advancements in machine learning (ML). While strides have been made regarding the computational facets of algorithms for “real-time” risk detection, such research has not yet evaluated these advancements through a human-centered lens. To this end, we conducted a systematic literature review of 53 peer-reviewed articles on real-time risk detection on social media. Real-time detection was mainly operationalized as “early” detection after-the-fact based on pre-defined chunks of data and evaluated based on standard performance metrics, such as timeliness. We identified several human-centered opportunities for advancing current algorithms, such as integrating human insight in feature selection, algorithms’ improvement considering human behavior, and utilizing human evaluations. This work serves as a critical call-to-action for the HCI and ML communities to work together to protect social media users before, during, and after exposure to risks.

We conducted an ethnographically-informed study with 28 participants (9 autistic Young Adults or "YAs" in need of substantial daily support, 6 parents, 13 support staff) to understand how autistic YAs self-regulate and receive mediation on social media. We found that autistic YAs relied on blanket boundary rules and struggled with impulse control; therefore, they coped by asking their support network to help them deal with negative social experiences. Their support networks responded by providing informal advice, in-the-moment instruction, and formal education, but often resorted to monitoring and restrictive mediation when more proactive approaches were ineffective. Overall, we saw boundary tensions arise between Autistic YAs and their support networks as they struggled to find the right balance between providing oversight versus promoting autonomy. This work contributes to the critical disability literature by revealing the benefits and tensions of allyship in the context of helping young autistic adults navigate social media.

We collected and analyzed Instagram direct messages (DMs) from 173 youth aged 13–21 (including 86 LGBTQ+ youth). We examined youth’s risk-flagged social media trace data with their self-reported mental health outcomes to examine how the differing online experiences of LGBTQ+ youth compare with their heterosexual counterparts. We found that LGBTQ+ youth experienced significantly more high-risk online interactions compared to heterosexual youth. LGBTQ+ youth reported overall poorer mental health, with online harassment specifically amplifying Self-Harm and Injury. LGBTQ+ youth’s mental well-being linked positively to sexual messages, unlike heterosexual youth. Qualitatively, we found that most of the risk-flagged messages of LGBTQ+ youth were sexually motivated; however, a silver lining was that they sought support for their sexual identity from peers on the platform. The study highlights the importance of tailored online safety and inclusive design for LGBTQ+ youth, with implications for CHI community advancements in fostering a supportive online environments.

Online harassment negatively impacts mental health, with victims expressing increased concerns such as depression, anxiety, and even increased risk of suicide, especially among youth and young adults. Yet, research has mainly focused on building automated systems to detect harassment incidents based on publicly available social media trace data, overlooking the impact of these negative events on the victims, especially in private channels of communication. Looking to close this gap, we examine a large dataset of private message conversations from Instagram shared and annotated by youth aged 13-21. We apply trained classifiers from online mental health to analyze the impact of online harassment on indicators pertinent to mental health expressions. Through a robust causal inference design involving a difference-in-differences analysis, we show that harassment results in greater expression of mental health concerns in victims up to 14 days following the incidents, while controlling for time, seasonality, and topic of conversation. Our study provides new benchmarks to quantify how victims perceive online harassment in the immediate aftermath of when it occurs. We make social justice-centered design recommendations to support harassment victims in private networked spaces. We caution that some of the paper's content could be triggering to readers.

The debate on whether social media has a net positive or negative effect on youth is ongoing. Therefore, we conducted a thematic analysis on 2,061 posts made by 1,038 adolescents aged 15-17 on an online peer-support platform to investigate the ways in which these teens discussed popular social media platforms in their posts and to identify differences in their experiences across platforms. Our findings revealed four main emergent themes for the ways in which social media was discussed: 1) Sharing negative experiences or outcomes of social media use (58%, n = 1,095), 2) Attempts to connect with others (45%, n = 922), 3) Highlighting the positive side of social media use (20%, n = 409), and 4) Seeking information (20%, n = 491). Overall, while sharing about negative experiences was more prominent, teens also discussed balanced perspectives of connection-seeking, positive experiences, and information support on social media that should not be discounted. Moreover, we found statistical significance for how these experiences differed across social media platforms. For instance, teens were most likely to seek romantic relationships on Snapchat and self-promote on YouTube. Meanwhile, Instagram was mentioned most frequently for body shaming, and Facebook was the most commonly discussed platform for privacy violations (mostly from parents). The key takeaway from our study is that the benefits and drawbacks of teens' social media usage can co-exist and net effects (positive or negative) can vary across different teens across various contexts. As such, we advocate for mitigating the negative experiences and outcomes of social media use as voiced by teens, to improve, rather than limit or restrict, their overall social media experience. We do this by taking an affordance perspective that aims to promote the digital well-being and online safety of youth "by design."

We conducted a study with 173 adolescents (ages 13-21), who self-reported their offline and online risk experiences and uploaded their Instagram data to our study website to flag private conversations as unsafe. Risk profiles were first created based on the survey data and then compared with the risk-flagged social media data. Five risk profiles emerged: Low Risks (51% of the participants), Medium Risks (29%), Increased Sexting (8%), Increased Self-Harm (8%), and High Risk Perpetration (4%). Overall, the profiles correlated well with the social media data with the highest level of risk occurring in the three smallest profiles. Youth who experienced increased sexting and self-harm frequently reported engaging in unsafe sexual conversations. Meanwhile, high risk perpetration was characterized by increased violence, threats, and sales/promotion of illegal activities. A key insight from our study was that offline risk behavior sometimes manifested differently in online contexts (i.e., offline self-harm as risky online sexual interactions). Our findings highlight the need for targeted risk prevention strategies for youth online safety.

This research examines how caseworkers collaborate with foster families to address adolescent online safety. We interviewed 32 caseworkers who worked with teens (ages 13-17) in foster care within the past 5 years. Using thematic analysis, we found that case managers are most concerned about sexual-related risks that result in physical abuse (e.g., sex trafficking) or online interactions that facilitated offline risks (e.g., runaway, illegal drug activity), rather than risks that only manifested in virtual spaces. Yet, inadequate training and insufficient support left caseworkers at a loss for how to address these challenges on top of their already heavy caseloads, often making online safety an afterthought. We call on the foster care system to place a higher priority in providing collaborative and socio-technical ecological support for caseworkers, foster parents, and children, so that early risk prevention in online spaces can support the safety and well-being of foster youth offline.

With the prevalence of risks encountered by youth online, strength-based approaches such as nudges have been recommended as potential solutions to guide teens toward safer decisions. However, most nudging interventions to date have not been designed to cater to teens' unique needs and online safety concerns. To address this gap, this study provided a comprehensive view of adolescents' feedback on online safety nudges to inform the design of more effective online safety interventions. We conducted 12 semi-structured interviews and 3 focus group sessions with 21 teens (13 - 17 years old) via Zoom to get their feedback on three types of nudge designs from two opposing perspectives (i.e., risk victim and perpetrator) and for two different online risks (i.e., Information Breaches and Cyberbullying). Based on the teens' responses, they expressed a desire that nudges need to move beyond solely warning the user to providing a clear and effective action to take in response to the risk. They also identified key differences that affect the perception of nudges in effectively addressing an online risk, they include age, risk medium, risk awareness, and perceived risk severity. Finally, the teens identified several challenges with nudges such as them being easy to ignore, disruptive, untimely, and possibly escalating the risk. To address these, teens recommended clearer and contextualized warnings, risk prevention, and nudge personalization as solutions to ensure effective nudging. Overall, we recommend online safety nudges be designed for victim guidance while providing autonomy to control their experiences, and to ensure accountability and prevention of risk perpetrators to restrict them from causing harm.

We conducted a co-design study with 26 users in dyadic groups who were assigned to the opposing roles of "Streamers'' and "Viewers'' to design interactive, wearable telepresence prototypes for interpersonal use. The goal was to elicit values, identify value tensions, and resolve these tensions in the design of a system that allows Streamers to share their live experiences with a remote Viewer. Leveraging the lens of value-sensitive design (VSD), we found that these different stakeholders prioritized different values in design, but possibly due to our prompt to design for someone they cared about/knew, often accounted for one another's needs in their solutions to arrive at designs that were affordable, unobtrusive, and socially acceptable for the Streamer, while giving the Viewer a sense of autonomy. Our work highlights the strengths of co-design when eliciting important human values in the design of sociotechnical systems for wearable telepresence, reconciling value tensions, and conceptualizing novel hardware- and software-based solutions for enhancing the interpersonal telepresence experience of both viewers and streamers. A key insight from our study is that no single system will meet all users' needs; therefore, we should move towards building customizable toolkits to account for differing values and needs.

We developed and deployed an interpersonal telepresence prototype aimed at providing a positive one-to-one interaction between a Streamer and a Viewer. Our prototype uses four distributed, wearable cameras hidden from the public eye. It was designed to reduce the risk of Streamer self-consciousness while providing the Viewer with a greater sense of autonomy. We deployed our prototype with sixteen participants in dyads, who worked together to complete a scavenger hunt, and compared it the baseline of Skype. We found how our prototype better supported Streamer social well-being and physical comfort, and it also better supported Viewer autonomy. However, almost all participants desired a change to the design of the prototype, hinting that we need to provide better customization for future iterations of interpersonal telepresence devices.

Research involving sensitive data often leads to valuable human-centered insights. Yet, the effects of participating in and conducting research about sensitive data with youth are poorly understood. We conducted meta-level research to improve our understanding of these effects. We did the following: (i) asked youth (aged 13-21) to share their private Instagram Direct Messages (DMs) and flag their unsafe DMs; (ii) interviewed 30 participants about the experience of reflecting on this sensitive data; (iii) interviewed research assistants (RAs, n=12) about their experience analyzing youth's data. We found that reflecting about DMs brought discomfort for participants and RAs, although both benefited from increasing their awareness about online risks, their behavior, and privacy and social media practices. Participants had high expectations for safeguarding their private data while their concerns were mitigated by the potential to improve online safety. We provide implications for ethical research practices and the development of reflective practices among participants and RAs through applying trauma-informed principles to HCI research.

We conducted 26 co-design interviews with 50 smarthome device owners to understand the perceived benefits, drawbacks, and design considerations for developing a smarthome system that facilitates co-monitoring with emergency contacts who live outside of one’s home. Participants felt that such a system would help ensure their personal safety, safeguard from material loss, and give them peace of mind by ensuring quick response and verifying potential threats. However, they also expressed concerns regarding privacy, overburdening others, and other potential threats, such as unauthorized access and security breaches. To alleviate these concerns, participants designed flexible and granular access control and fail-safe back-up features. Our study reveals why peer-based co-monitoring of smarthomes for emergencies may be beneficial but also difficult to implement. Based on the insights gained from our study, we provide recommendations for designing technologies that facilitate such co-monitoring while mitigating its risks.

Although youth increasingly communicate with peers online, we know little about how private online channels play a role in providing a supportive environment for youth. To fill this gap, we asked youth to donate their Instagram Direct Messages and filtered them by the phrase “help me.” From this query, we analyzed 82 conversations comprised of 336,760 messages that 42 participants donated. These threads often began as casual conversations among friends or lovers they met offline or online. The conversations evolved into sharing negative experiences about everyday stress (e.g., school, dating) to severe mental health disclosures (e.g., suicide). Disclosures were usually reciprocated with relatable experiences and positive peer support. We also discovered unsupport as a theme, where conversation members denied giving support, a unique finding in the online social support literature. We discuss the role of social media-based private channels and their implications for design in supporting youth’s mental health. Content Warning: This paper includes sensitive topics, including self-harm and suicide ideation. Reader discretion is advised.

Adolescent online safety researchers have emphasized the importance of moving beyond restrictive and privacy invasive approaches to online safety, towards resilience-based approaches for empowering teens to deal with online risks independently. Unfortunately, many of the existing online safety interventions are focused on parental mediation and not contextualized to teens' personal experiences online; thus, they do not effectively cater to the unique needs of teens. To better understand how we might design online safety interventions that help teens deal with online risks, as well as when and how to intervene, we must include teens as partners in the design process and equip them with the skills needed to contribute equally to the design process. As such, we conducted User Experience (UX) bootcamps with 21 teens (ages 13-17) to first teach them important UX design skills using industry standard tools, so they could create storyboards for unsafe online interactions commonly experienced by teens and high-fidelity, interactive prototypes for dealing with these situations. Based on their storyboards, teens often encountered information breaches and sexual risks with strangers, as well as cyberbullying from acquaintances or friends. While teens often blocked or reported strangers, they struggled with responding to risks from friends or acquaintances, seeking advice from others on the best action to take. Importantly, teens did not find any of the existing ways for responding to these risks to be effective in keeping them safe. When asked to create their own design-based interventions, teens frequently envisioned "nudges" that occurred in real-time. Interestingly, teens more often designed for risk prevention (rather than risk coping) by focusing on nudging the risk perpetrator (rather than the victim) to rethink their actions, block harmful actions from occurring, or penalizing perpetrators for inappropriate behavior to prevent it from happening again in the future. Teens also designed personalized sensitivity filters to provide teens the ability to manage content they wanted to see online. Some teens also designed personalized nudges, so that teens could receive intelligent, guided advice from the platform that would help them know how to handle online risks themselves without intervention from their parents. Our findings highlight how teens want to address online risks "at the root" by putting the onus of risk prevention on those who perpetrate them - rather than on the victim. Our work is the first to leverage co-design with teens to develop novel online safety interventions that advocate for a paradigm shift from youth risk protection to promoting good digital citizenship.

Instagram, one of the most popular social media platforms among youth, has recently come under scrutiny for potentially being harmful to the safety and well-being of our younger generations. Automated approaches for risk detection may be one way to help mitigate some of these risks if such algorithms are both accurate and contextual to the types of online harms youth face on social media platforms. However, the imminent switch by Instagram to end-to-end encryption for private conversations will limit the type of data that will be available to the platform to detect and mitigate such risks. In this paper, we investigate which indicators are most helpful in automatically detecting risk in Instagram private conversations, with an eye on high-level metadata, which will still be available in the scenario of end-to-end encryption. Toward this end, we collected Instagram data from 172 youth (ages 13-21) and asked them to identify private message conversations that made them feel uncomfortable or unsafe. Our participants risk-flagged 28,725 conversations that contained 4,181,970 direct messages, including textual posts and images. Based on this rich and multimodal dataset, we tested multiple feature sets (metadata, linguistic cues, and image features) and trained classifiers to detect risky conversations. Overall, we found that the metadata features (e.g., conversation length, a proxy for participant engagement) were the best predictors of risky conversations. However, for distinguishing between risk types, the different linguistic and media cues were the best predictors. Based on our findings, we provide design implications for AI risk detection systems in the presence of end-to-end encryption. More broadly, our work contributes to the literature on adolescent online safety by moving toward more robust solutions for risk detection that directly takes into account the lived risk experiences of youth.

Social service providers play a vital role in the developmental outcomes of underprivileged youth as they transition into adulthood. Educators, mental health professionals, juvenile justice officers, and child welfare caseworkers often have first-hand knowledge of the trials uniquely faced by these vulnerable youth and are charged with mitigating harmful risks, such as mental health challenges, child abuse, drug use, and sex trafficking. Yet, less is known about whether or how social service providers assess and mitigate the online risk experiences of youth under their care. Therefore, as part of the National Science Foundation (NSF) I-Corps program, we conducted interviews with 37 social service providers (SSPs) who work with underprivileged youth to determine what (if any) online risks are most concerning to them given their role in youth protection, how they assess or become aware of these online risk experiences, and whether they see value in the possibility of using artificial intelligence (AI) as a potential solution for online risk detection. Overall, online sexual risks (e.g., sexual grooming and abuse) and cyberbullying were the most salient concern across all social service domains, especially when these experiences crossed the boundary between the digital and the physical worlds. Yet, SSPs had to rely heavily on youth self-reports to know whether and when online risks occurred, which required building a trusting relationship with youth; otherwise, SSPs became aware only after a formal investigation had been launched. Therefore, most SSPs found value in the potential for using AI as an early detection system and to monitor youth, but they were concerned that such a solution would not be feasible due to a lack of resources to adequately respond to online incidences, access to the necessary digital trace data (e.g., social media), context, and concerns about violating the trust relationships they built with youth. Thus, such automated risk detection systems should be designed and deployed with caution, as their implementation could cause youth to mistrust adults, thereby limiting the receipt of necessary guidance and support. We add to the bodies of research on adolescent online safety and the benefits and challenges of leveraging algorithmic systems in the public sector.

We collected Instagram data from 150 adolescents (ages 13-21) that included 15,547 private message conversations of which 326 conversations were flagged as sexually risky by participants. Based on this data, we leveraged a human-centered machine learning approach to create sexual risk detection classifiers for youth social media conversations. Our Convolutional Neural Network (CNN) and Random Forest models outperformed in identifying sexual risks at the conversation-level (AUC=0.88), and CNN outperformed at the message-level (AUC=0.85). We also trained classifiers to detect the severity risk level (i.e., safe, low, medium-high) of a given message with CNN outperforming other models (AUC=0.88). A feature analysis yielded deeper insights into patterns found within sexually safe versus unsafe conversations. We found that contextual features (e.g., age, gender, and relationship type) and Linguistic Inquiry and Word Count (LIWC) contributed the most for accurately detecting sexual conversations that made youth feel uncomfortable or unsafe. Our analysis provides insights into the important factors and contextual features that enhance automated detection of sexual risks within youths' private conversations. As such, we make valuable contributions to the computational risk detection and adolescent online safety literature through our human-centered approach of collecting and ground truth coding private social media conversations of youth for the purpose of risk classification.

Live streaming has become a popular activity world-wide that has warranted research attention on its privacy related issues. For instance, bystanders' privacy, or the privacy of third-parties captured by streamers, has been increasingly studied as live streaming has become almost ubiquitous in both public and private spaces in many countries. While prior work has studied bystanders' privacy concerns, a gap exists in understanding how streamers consider bystanders' privacy and the steps they take (or do not take) to preserve it. Understanding streamers' considerations towards bystanders' privacy is vital because streamers are the ones who have direct control over whether and how bystanders' information is disclosed. To address this gap, we conducted an interview study with 25 Chinese streamers to understand their considerations and practices regarding bystanders' privacy in live streaming. We found that streamers cared about bystanders' privacy and evaluated possible privacy violations to bystanders from several perspectives. To protect bystanders from privacy violations, streamers primarily relied on technical, behavioral, and collaborative strategies. Our results also indicated that current streaming platforms lacked features that helped streamers seamlessly manage bystanders' privacy and involved bystanders into their privacy decision-making. Applying the theoretical lens of collective privacy management, we discuss implications for the design of live streaming systems to support streamers in protecting bystanders' privacy.

We collected Instagram Direct Messages (DMs) from 100 adolescents and young adults (ages 13-21) who then flagged their own conversations as safe or unsafe. We performed a mixed-method analysis of the media files shared privately in these conversations to gain human-centered insights into the risky interactions experienced by youth. Unsafe conversations ranged from unwanted sexual solicitations to mental health related concerns, and images shared in unsafe conversations tended to be of people and convey negative emotions, while those shared in regular conversations more often conveyed positive emotions and contained objects. Further, unsafe conversations were significantly shorter, suggesting that youth disengaged when they felt unsafe. Our work uncovers salient characteristics of safe and unsafe media shared in private conversations and provides the foundation to develop automated systems for online risk detection and mitigation.

We conducted a user study with 380 Android users, profiling them according to two key privacy behaviors: the number of apps installed and the Dangerous permissions granted to those apps. We identified four unique privacy profiles: 1) Privacy Balancers (49.74% of participants), 2) Permission Limiters (28.68%), 3) App Limiters (14.74%), and 4) the Privacy Unconcerned (6.84%). App and Permission Limiters were significantly more concerned about perceived surveillance than Privacy Balancers and the Privacy Unconcerned. App Limiters had the lowest number of apps installed on their devices with the lowest intention of using apps and sharing information with them, compared to Permission Limiters who had the highest number of apps installed and reported higher intention to share information with apps. The four profiles reflect the differing privacy management strategies, perceptions, and intentions of Android users that go beyond the binary decision to share or withhold information via mobile apps.

Virtual humans can be used to deliver persuasive arguments; yet, those with synthetic text-to-speech (TTS) have been perceived less favorably than those with recorded human speech. In this paper, we investigate standard concatenative TTS and more advanced neural TTS. We conducted a 3x2 between-subjects experiment (n=79) to evaluate the effect of a virtual human’s speech fidelity at three levels (Standard TTS, Neural TTS, and Human speech) and the listener’s gender (male or female) on perceptions and persuasion. We found that the virtual human was perceived as significantly less trustworthy by both genders, if they used neural TTS compared to human speech, while male listeners (but not females) also perceived standard TTS as less trustworthy than human speech. Our findings indicate that neural TTS may not be an effective choice for persuasive virtual humans and that gender of the listener plays a role in how virtual humans are perceived.

Social media can facilitate numerous benefits, ranging from facilitating access to social, instrumental, financial, and other support, to professional development and civic participation. However, these benefits may not be generalizable to all users. Therefore, we conducted an ethnographic case study with eight Autistic young adults, ten staff members, and four parents to understand how Autistic users of social media engage with others, as well as any unintended consequences of use. We leveraged an affordances perspective to understand how Autistic young adults share and consume user-generated content, make connections, and engage in networked interactions with others via social media. We found that they often used a literal interpretation of digital affordances that sometimes led to negative consequences including physical harm, financial loss, social anxiety, feelings of exclusion, and inadvertently damaging their social relationships. We make recommendations for redesigning social media affordances to be more inclusive of neurodiverse users.

Social priming is the idea that observations of a virtual human (VH) engaged in short social interactions with a real or virtual human bystander can positively influence users’ subsequent interactions with that VH. In this paper we investigate the question of whether the positive effects of social priming are limited to interactions with humanoid entities. For instance, virtual dogs offer an attractive candidate for non-humanoid entities, as previous research suggests multiple positive effects. In particular, real human dog owners receive more positive attention from strangers than non-dog owners.To examine the influence of such social priming we carried out a human-subjects experiment with four conditions: three social priming conditions where a participant initially observed a VH interacting with one of three virtual entities (another VH, a virtual pet dog, or a virtual personal robot), and a non-social priming condition where a VH (alone) was intently looking at her phone as if reading something. We recruited 24 participants and conducted a mixed-methods analysis. We found that a VH’s prior social interactions with another VH and a virtual dog significantly increased participants’ perceptions of the VHs’ affective attraction. Also, participants felt more inclined to interact with the VH in the future in all of the social priming conditions. Qualitatively, we found that the social priming conditions resulted in a more positive user experience than the non-social priming condition. Also, the virtual dog and the virtual robot were perceived as a source of positive surprise, with participants appreciating the non-humanoid interactions for various reasons, such as the avoidance of social anxieties sometimes associated with humans.

Our research aims to highlight and alleviate the complex tensions around online safety, privacy, and smartphone usage in families so that parents and teens can work together to better manage mobile privacy and security-related risks. We developed a mobile application ("app") for Community Oversight of Privacy and Security ("CO-oPS") and had parents and teens assess whether it would be applicable for use with their families. CO-oPS is an Android app that allows a group of users to co-monitor the apps installed on one another's devices and the privacy permissions granted to those apps. We conducted a study with 19 parent-teen (ages 13-17) pairs to understand how they currently managed mobile safety and app privacy within their family and then had them install, use, and evaluate the CO-oPS app. We found that both parents and teens gave little consideration to online safety and privacy before installing new apps or granting privacy permissions. When using CO-oPS, participants liked how the app increased transparency into one another's devices in a way that facilitated communication, but were less inclined to use features for in-app messaging or to hide apps from one another. Key themes related to power imbalances between parents and teens surfaced that made co-management challenging. Parents were more open to collaborative oversight than teens, who felt that it was not their place to monitor their parents, even though both often believed parents lacked the technological expertise to monitor themselves. Our study sheds light on why collaborative practices for managing online safety and privacy within families may be beneficial but also quite difficult to implement in practice. We provide recommendations for overcoming these challenges based on the insights gained from our study.

Sexual exploration is a natural part of adolescent development; yet, unmediated internet access has enabled teens to engage in a wider variety of potentially riskier sexual interactions than previous generations, from normatively appropriate sexual interactions to sexually abusive situations. Teens have turned to online peer support platforms to disclose and seek support about these experiences. Therefore, we analyzed posts (N=45,955) made by adolescents (ages 13--17) on an online peer support platform to deeply examine their online sexual risk experiences. By applying a mixed methods approach, we 1) accurately (average of AUC = 0.90) identified posts that contained teen disclosures about online sexual risk experiences and classified the posts based on level of consent (i.e., consensual, non-consensual, sexual abuse) and relationship type (i.e., stranger, dating/friend, family) between the teen and the person in which they shared the sexual experience, 2) detected statistically significant differences in the proportions of posts based on these dimensions, and 3) further unpacked the nuance in how these online sexual risk experiences were typically characterized in the posts. Teens were significantly more likely to engage in consensual sexting with friends/dating partners; unwanted solicitations were more likely from strangers and sexual abuse was more likely when a family member was involved. We contribute to the HCI and CSCW literature around youth online sexual risk experiences by moving beyond the false dichotomy of "safe" versus "risky". Our work provides a deeper understanding of technology-mediated adolescent sexual behaviors from the perspectives of sexual well-being, risk detection, and the prevention of online sexual violence toward youth.

We perpetuate, reinforce, and have the opportunity to disrupt systemic injustices through the actions we take as individuals. As an IDC community, we have a responsibility to reflect upon our behaviors and the commitments we make to ensure our engagements with youth, especially those that identify as Black or brown, are justice-centered. In this workshop, we invite researchers and practitioners to reflect on what is at stake if the IDC community does not intentionally take a justice-centered approach throughout our methods, our research questions, and our everyday interactions with youth. The goals of our workshop are two-fold: (1) To share stories about the actions we take as researchers with power to influence change in our interactions with youth, and (2) To establish the commitments the IDC community can make for more equitable design and research engagements with youth.

To understand the underlying process of users’ information disclosure decisions, scholars often use either the privacy calculus framework or refer to heuristic shortcuts. It is unclear whether the decision process varies by age. Therefore, using these common frameworks, we conducted a web-based experiment with 94 participants, who were younger (ages 19-22) or older (65+) adults, to understand how perceived app trust, sensitivity of the data, and benefits of disclosure influence users disclosure decisions. Younger adults were more likely to change their perception of data sensitivity based on trust, while older adults were more likely to disclose information based on perceived benefits of disclosure. These results suggest older adults made more rationally calculated decisions than younger adults, who made heuristic decisions based on app trust. Our findings negate the mainstream narrative that older adults are less privacy-conscious than younger adults; instead, older adults weigh the benefits and risks of information disclosure.

The internet facilitates opportunities for adolescents to form relationships and explore their sexuality but seeking intimacy online has also become a stressor. As a result, adolescents often turn to the internet to seek support concerning issues related to sex because of its accessibility, interactivity, and anonymity. We analyzed 3,050 peer comments and 1,451 replies from adolescents (837 posts) who sought advice and/or support about online sexual experiences involving known others. We found peers mostly provided information and emotional support. They gave advice on how to handle negative online sexual experiences and mitigate their long-term repercussions, often based on their own negative experiences. They provided emotional support by letting teens know that they were not alone and should not blame themselves. A key implication of these findings is that these situations seemingly occurred regularly and youth were converging on a subset of norms about how to handle such situations in a way that supported one another. Yet, in some cases, they also resorted to victim-blaming or retaliating against those who broke these norms of "safe" sexting. Teens were grateful for emotional support and advice that helped them engage safely but were defensive when peers were critical of their relationships. Together, our findings suggest that youth are self-organizing to converge on guidelines and norms around safe sexting but have trouble framing their messages so that they are more readily accepted. In our paper, we contribute to the adolescent online safety literature by identifying youth-focused beliefs about safe sexting by analyzing the ways in which online peers give advice and support. We provide actionable recommendations for facilitating the exchange of positive advice and support via online peer-support platforms.

Cyberbullying is a growing problem across social media platforms, inflicting short and long-lasting effects on victims. To mitigate this problem, research has looked into building automated systems, powered by machine learning, to detect cyberbullying incidents, or the involved actors like victims and perpetrators. In the past, systematic reviews have examined the approaches within this growing body of work, but with a focus on the computational aspects of the technical innovation, feature engineering, or performance optimization, without centering around the roles, beliefs, desires, or expectations of humans. In this paper, we present a human-centered systematic literature review of the past 10 years of research on automated cyberbullying detection. We analyzed 56 papers based on a three-prong human-centeredness algorithm design framework - spanning theoretical, participatory, and speculative design. We found that the past literature fell short of incorporating human-centeredness across multiple aspects, ranging from defining cyberbullying, establishing the ground truth in data annotation, evaluating the performance of the detection models, to speculating the usage and users of the models, including potential harms and negative consequences. Given the sensitivities of the cyberbullying experience and the deep ramifications cyberbullying incidents bear on the involved actors, we discuss takeaways on how incorporating human-centeredness in future research can aid with developing detection systems that are more practical, useful, and tuned to the diverse needs and contexts of the stakeholders.

Managing digital privacy and security is often a collaborative process, where groups of individuals work together to share information and give one another advice. Yet, this collaborative process is not always reciprocal or equally shared. In many cases, individuals with more expertise help others without receiving help in return. Therefore, we studied the phenomenon of "Tech Caregiving" by surveying 20 groups (112 individuals) comprised of friends, family members, and/or co-workers who identified at least one member of their group as a someone who provides informal technical support to the people they know. We found that tech caregivers reported significantly higher levels of power use and self-efficacy for digital privacy and security, compared to tech caregivees. However, caregivers and caregivees did not differ based on their self-reportedcommunity collective-efficacy for collaboratively managing privacy and security together as a group. This finding demonstrates the importance of tech caregiving and community belonging in building community collective efficacy for digital privacy and security. We also found that caregivers and caregivees most often communicated via text message or phone when coordinating support, which was most frequently needed when troubleshooting or setting up new devices. Meanwhile, discussions specific to privacy and security represented only a small fraction of the issues for which participants gave or received tech care. Thus, we conclude that educating tech caregivers on how to provide privacy and security-focused support, as well as designing technologies that facilitate such support, has the potential to create positive networks effects towards the collective management of digital privacy and security.

It is important to learn from the past as we endeavor into this uncharted territory of mobile, human-to-human, one-to-one telepresence for interpersonal use. With the ever-increasing access to live-streaming cameras, we are now at the cusp of being able to create novel, immersive, and interpersonal telepresence activities that have the potential to change how humans interact with one another on a daily basis. Due to its novelty, there are likely socio-technical gaps between the needs of users and the technical specifications of the prototypes that are currently being designed to support the complex social interactions of human-to-human telepresence. Therefore, in this paper, we use a socio-technical lens to conduct a systematic literature review of 52 peer-reviewed articles of early work in this space. Overall, we found that while progress has been made to address the social needs of those involved in one-to-one telepresence scenarios, there are discontinuities within the existing literature that need to be addressed, particularly with the way we attempt to measure and quantify human-centered outcomes with unvalidated instruments. We also found that the social needs of on-site users have been neglected, as in many articles the user was merely treated as a surrogate, or reported feeling socially awkward or unsafe, due to the conspicuous nature of the body-worn technology in public environments. These findings are prevalent, even as researchers consider adding to this body-worn burden in an attempt to improve the receiving users' sense of immersion and presence. To preserve the beneficial nature of telepresence interaction while ensuring that all users' needs are met, researchers should endeavor to further understand the dynamics of the relationship between all parties in the remote environment. Our paper creates a future research agenda that emphasizes the importance of ensuring that all parties involved feel comfortable in their role during interpersonal telepresence interactions.

In the era of big data and artificial intelligence, online risk detection has become a popular research topic. From detecting online harassment to the sexual predation of youth, the state-of-the-art in computational risk detection has the potential to protect particularly vulnerable populations from online victimization. Yet, this is a high-risk, high-reward endeavor that requires a systematic and human-centered approach to synthesize disparate bodies of research across different application domains, so that we can identify best practices, potential gaps, and set a strategic research agenda for leveraging these approaches in a way that betters society. Therefore, we conducted a comprehensive literature review to analyze 73 peer-reviewed articles on computational approaches utilizing text or meta-data/multimedia for online sexual risk detection. We identified sexual grooming (75%), sex trafficking (12%), and sexual harassment and/or abuse (12%) as the three types of sexual risk detection present in the extant literature. Furthermore, we found that the majority (93%) of this work has focused on identifying sexual predators after-the-fact, rather than taking more nuanced approaches to identify potential victims and problematic patterns that could be used to prevent victimization before it occurs. Many studies rely on public datasets (82%) and third-party annotators (33%) to establish ground truth and train their algorithms. Finally, the majority of this work (78%) mostly focused on algorithmic performance evaluation of their model and rarely (4%) evaluate these systems with real users. Thus, we urge computational risk detection researchers to integrate more human-centered approaches to both developing and evaluating sexual risk detection algorithms to ensure the broader societal impacts of this important work.

The opportunity for online engagement increases possible exposure to potentially risky behaviors for teens, which may have significant negative consequences. Effective family communication about online safety can help reduce the risky adolescent behavior and limit the consequences after it occurs. Our paper contributes a theory of communication factors that positively influence teen and parent perception of communication about online safety and provides design implications based on those findings. While previous work identified gaps in family communication regarding online safety, our study quantitatively identified the factors that significantly contribute to parents' and teens' differing perceptions. We analyzed data from a survey of 215 teen-parent pairs through a cross-sectional design and examined the factors that contribute to increased family communication about online safety. For parents, active mediation, technical monitoring, and a perceived positive affect of the teen were associated with higher levels of family communication. Our results were similar for teens, except that the teen's online safety concern and parental monitoring were also positively associated with increased family communication, while restrictive mediation was associated with lower levels of family communication. Many existing designs for online safety support a restrictive approach, despite teens not wanting technical restrictions. A key implication of our findings is that teens view active mediation and monitoring positively in respect to family communication. Contrary to mainstream narratives, this finding suggests that teens value parental involvement and do not desire complete independence online. By examining specific mechanisms which can hinder or improve family communication between parents and teens regarding online safety, we recommend solutions that give teens an active role in their online safety and facilitate effective family communication through cooperation between both parties, rather than technologies that promote parental restriction.

Algorithms have permeated throughout civil government and society, where they are being used to make high-stakes decisions about human lives. In this paper, we first develop a cohesive framework of algorithmic decision-making adapted for the public sector (ADMAPS) that reflects the complex socio-technical interactions between human discretion, bureaucratic processes, and algorithmic decision-making by synthesizing disparate bodies of work in the fields of Human-Computer Interaction (HCI), Science and Technology Studies (STS), and Public Administration (PA). We then applied the ADMAPS framework to conduct a qualitative analysis of an in-depth, eight-month ethnographic case study of algorithms in daily use within a child-welfare agency that serves approximately 900 families and 1300 children in the mid-western United States. Overall, we found that there is a need to focus on strength-based algorithmic outcomes centered in social ecological frameworks. In addition, algorithmic systems need to support existing bureaucratic processes and augment human discretion, rather than replace it. Finally, collective buy-in in algorithmic systems requires trust in the target outcomes at both the practitioner and bureaucratic levels. As a result of our study, we propose guidelines for the design of high-stakes algorithmic decision-making tools in the child-welfare system, and more generally, in the public sector. We empirically validate the theoretically derived ADMAPS framework to demonstrate how it can be useful for systematically making pragmatic decisions about the design of algorithms for the public sector.

In this article, we investigate the effects of the physical influence of a virtual human (VH) in the context of face-to-face interaction in a mixed reality environment. In Experiment 1, participants played a tabletop game with a VH, in which each player takes a turn and moves their own token along the designated spots on the shared table. We compared two conditions as follows: the VH in the virtual condition moves a virtual token that can only be seen through augmented reality (AR) glasses, while the VH in the physical condition moves a physical token as the participants do; therefore the VH's token can be seen even in the periphery of the AR glasses. For the physical condition, we designed an actuator system underneath the table. The actuator moves a magnet under the table which then moves the VH's physical token over the surface of the table. Our results indicate that participants felt higher co-presence with the VH in the physical condition, and participants assessed the VH as a more physical entity compared to the VH in the virtual condition. We further observed transference effects when participants attributed the VH's ability to move physical objects to other elements in the real world. Also, the VH's physical influence improved participants' overall experience with the VH. In Experiment 2, we further looked into the question how the physical-virtual latency in movements affected the perceived plausibility of the VH's interaction with the real world. Our results indicate that a slight temporal difference between the physical token reacting to the virtual hand's movement increased the perceived realism and causality of the mixed reality interaction. We discuss potential explanations for the findings and implications for future shared mixed reality tabletop setups.

360-degree experiences such as cinematic virtual reality and 360-degree videos are becoming increasingly popular. In most examples, viewers can freely explore the content by changing their orientation. However, in some cases, this increased freedom may lead to viewers missing important events within such experiences. Thus, a recent research thrust has focused on studying mechanisms for guiding viewers' attention while maintaining their sense of presence and fostering a positive user experience. One approach is the utilization of diegetic mechanisms, characterized by an internal consistency with respect to the narrative and the environment, for attention guidance. While such mechanisms are highly attractive, their uses and potential implementations are still not well understood. Additionally, acknowledging the user in 360-degree experiences has been linked to a higher sense of presence and connection. However, less is known when acknowledging behaviors are carried out by attention guiding mechanisms. To close these gaps, we conducted a within-subjects user study with five conditions of no guide and virtual arrows, birds, dogs, and dogs that acknowledge the user and the environment. Through our mixed-methods analysis, we found that the diegetic virtual animals resulted in a more positive user experience, all of which were at least as effective as the non-diegetic arrow in guiding users towards target events. The acknowledging dog received the most positive responses from our participants in terms of preference and user experience and significantly improved their sense of presence compared to the non-diegetic arrow. Lastly, three themes emerged from a qualitative analysis of our participants' feedback, indicating the importance of the guide's blending in, its acknowledging behavior, and participants' positive associations as the main factors for our participants' preferences.

With the rise of immersive virtual reality and telepresence, it is important to understand the factors that contribute to creating an optimal user experience. In particular, there are divergent recommendations for setting camera heights in virtual contexts that facilitate telepresence. Therefore, we conducted a 2x2 mixed-design experiment with 93 college students asking them to select their preferred camera height when varying camera placement (overhead, chest) and the presence of human avatars (present, not present). We found that while camera placement did not have a significant effect of preferred camera height, the presence of avatars (increased height preference) and gender (women preferred lower heights) were significant. Our results provide evidence that factors within a virtual environment and individual differences influence users’ preferences of camera height. Thus, systems designed for immersive virtual reality and telepresence should customize camera height based on these factors.

Traditional parental control applications designed to protect children and teens from online risks do so through parental restrictions and privacy-invasive monitoring. We propose a new approach to adolescent online safety that aims to strike a balance between a teen's privacy and their online safety through active communication and fostering trust between parents and children. We designed and developed an Android "app" called Circle of Trust and conducted a mixed methods user study of 17 parent-child pairs to understand their perceptions about the app. Using a within-subjects experimental design, we found that parents and children significantly preferred our new app design over existing parental control apps in terms of perceived usefulness, ease of use, and behavioral intent to use. By applying a lens of Value Sensitive Design to our interview data, we uncovered that parents and children who valued privacy, trust, freedom, and balance of power preferred our app over traditional apps. However, those who valued transparency and control preferred the status quo. Overall, we found that our app was better suited for teens than for younger children.

We conducted a thematic content analysis of 4,180 posts by adolescents (ages 12-17) on an online peer support mental health forum to understand what and how adolescents talk about their online sexual interactions. Youth used the platform to seek support (83%), connect with others (15%), and give advice (5%) about sexting, their sexual orientation, sexual abuse, and explicit content. Females often received unwanted nudes from strangers and struggled with how to turn down sexting requests from people they knew. Meanwhile, others who sought support complained that they received unwanted sexual solicitations while doing so-to the point that adolescents gave advice to one another on which users to stay away from. Our research provides insight into the online sexual experiences of adolescents and how they seek support around these issues. We discuss how to design peer-based social media platforms to support the well-being and safety of youth.

The U.S. Child Welfare System (CWS) is charged with improving outcomes for foster youth; yet, they are overburdened and underfunded. To overcome this limitation, several states have turned towards algorithmic decision-making systems to reduce costs and determine better processes for improving CWS outcomes. Using a human-centered algorithmic design approach, we synthesize 50 peer-reviewed publications on computational systems used in CWS to assess how they were being developed, common characteristics of predictors used, as well as the target outcomes. We found that most of the literature has focused on risk assessment models but does not consider theoretical approaches (e.g., child-foster parent matching) nor the perspectives of caseworkers (e.g., case notes). Therefore, future algorithms should strive to be context-aware and theoretically robust by incorporating salient factors identified by past research. We provide the HCI community with research avenues for developing human-centered algorithms that redirect attention towards more equitable outcomes for CWS.

As smart devices are becoming commonplace in homes, we need to explore the needs of not just the residents of the home, but also of secondary stakeholders who may be granted access to these devices from outside of the home. We conducted a mixed methods study, which included a survey of 163 smart home device owners and a follow-up interview with 13 individuals who currently share their smart home devices with others outside of their home. Nearly half (47.8%) of our survey participants shared at least one smart home device with someone that did not live with them. Individuals sought greater safety and security by providing remote access to trusted family members or friends. By understanding users' perspectives about privacy and trust in relation to sharing smart home devices beyond the home, we build a case for community-based access control of smart home devices in the Internet of Things.

Past work in augmented reality has shown that temperature-associated AR stimuli can induce warming and cooling sensations in the user, and prior work in psychology suggests that a person’s body temperature can influence that person’s sense of subjective perception of duration. In this paper, we present a user study to evaluate the relationship between temperature-associated virtual stimuli presented on an AR-HMD and the user’s sense of subjective perception of duration and temperature. In particular, we investigate two independent variables: the apparent temperature of the virtual stimuli presented to the participant, which could be hot or cold, and the location of the stimuli, which could be in direct contact with the user, in indirect contact with the user, or both in direct and indirect contact simultaneously. We investigate how these variables affect the users’ perception of duration and perception of body and environment temperature by having participants make prospective time estimations while observing the virtual stimulus and answering subjective questions regarding their body and environment temperatures. Our work confirms that temperature-associated virtual stimuli are capable of having significant effects on the users’ perception of temperature, and highlights a possible limitation in the current augmented reality technology in that no secondary effects on the users’ perception of duration were observed.

The methods in which we study the online experiences of adolescents should be evidence-based and informed by youth. This is especially true when studying sensitive topics, such as the online risk behaviors of minors. We directly engaged 20 adolescents (ages 12-18) in the co-design of two different research methodologies (i.e., diary studies and analyzing social media trace data) for conducting adolescent online safety research. We also interviewed 13 of their parents to understand their perspectives. Overall, teens wanted to share their personal experiences and benefit society, while parents wanted researchers to tackle a topic that they felt was a prevalent problem for teens. Yet, they both had significant concerns regarding data privacy of the sensitive disclosures made by teens during such studies. Teens' feared getting in trouble. Participants emphasized the importance of developing a trusting relationship with the researcher to overcome these concerns. Participants also saw the potential for using the research study as a tool for risk-reporting and mitigation, where researchers could act as liaisons between the teens and other parties (e.g., counselors, law enforcement, parents) to share pertinent risk details and facilitate resources or even help teens directly by giving them strategies for mitigating online risks they encountered during the study. Our research delves into important ethical considerations for conducting risk-focused research with adolescents and uncovers the critical need for designing risk-based research for youth protection. We provide researchers with heuristic guidelines for conducting ethical research with vulnerable populations (i.e., adolescents) and keeping participants safe while doing so.

Older adults are increasingly becoming adopters of digital technologies, such as smartphones; however, this population remains particularly vulnerable to digital privacy and security threats. To date, most research on technology used among older adults focuses on helping individuals overcome their discomfort or lack of expertise with technology to protect them from such threats. Instead, we are interested in how communities of older adults work together to collectively manage their digital privacy and security. To do this, we surveyed 67 individuals across two older adult communities (59 older adults and eight employees or volunteers) and found that the community's collective efficacy for privacy and security was significantly correlated with the individuals' self-efficacy, power usage of technology, and their sense of community belonging. Community collective efficacy is a group's mutual belief in its ability to achieve a shared goal. Using social network analysis, we further unpacked these relationships to show that many older adults interact with others who have similar technological expertise, and closer-knit older adult communities that have low technology expertise (i.e., low power usage and self-efficacy) may increase their community collective efficacy for privacy and security by embedding facilitators (e.g., employees or volunteers) who have more technical expertise within their communities. Our work demonstrates how both peer influence and outside expertise can be leveraged to support older adults in managing their digital privacy and security.

The Blue Whale Challenge (BWC) is an online viral "game" that allegedly encourages youth and young adults towards self-harming behaviors that could eventually lead to suicide. The BWC can be situated within a larger phenomenon of viral online self-harm challenges, which may be propagated through both social media and news sources. Research has established that suicide is a global public health issue that is known to be influenced by media reporting. Violation of safe messaging guidelines has been shown to increase imitative suicides, particularly in youth and young adults. Given the confirmed effects of news media reporting, we analyzed 150 digital newspaper articles reporting on the BWC to assess whether they adhered to suicide prevention safe messaging guidelines. Overall, 81% of the articles violated at least one contagion-related guideline, most commonly normalizing suicide, discussing means of suicide, and sensationalizing. Even though the majority (91%) of the articles adhered to at least one health-promotion guideline, such as emphasizing prevention, the articles did not follow these guidelines on a deep and comprehensive level. Through thematic analysis, we also found evidence of potential misinformation in reporting, where the articles unequivocally attributed many suicides to the BWC with little or no evidence. Additionally, articles often stated an individual's reason for participating in the challenge without interviewing the individual or those close to the individual, another aspect of potential misinformation due to lack of evidence. A contribution of the current study is the synthesis of safe messaging guidelines that can be used in future research. This study contributes to the understanding of news reporting practices regarding suicide and self-harm in regard to the BWC and similar online challenges. We discuss how sensationalized news media reports on the BWC could unintentionally propagate suicide contagion effects that normalize self-harming behaviors among youth. We then examine implications for practice and policy, such using automated approaches to aid reporters in adhering to safe messaging guidelines.

Abstract Smartphone users are often unaware of mobile applications’ (“apps”) third-party data collection and sharing practices, which put them at higher risk of privacy breaches. One way to raise awareness of these practices is by providing unobtrusive but pervasive visualizations that can be presented in a glanceable manner. In this paper, we applied Wogalter et al.’s Communication-Human Information Processing model (C-HIP) to design and prototype eight different visualizations that depict smartphone apps’ data sharing activities. We varied the granularity and type (i.e., data-centric or app-centric) of information shown to users and used the screensaver/lock screen as a design probe. Through interview-based design probes with Android users (n=15), we investigated the aspects of the data exposure visualizations that influenced users’ comprehension and privacy awareness. Our results shed light on how users’ perceptions of privacy boundaries influence their preference regarding the information structure of these visualizations, and the tensions that exist in these visualizations between glanceability and granularity. We discuss how a pervasive, soft paternalistic approach to privacy-related visualization may raise awareness by enhancing the transparency of information flow, thereby, unobtrusively increasing users’ understanding of data sharing practices of mobile apps. We also discuss implications for privacy research and glanceable security.

Mobile social media applications ("apps"), such as TikTok (previously Musical.ly), have recently surfaced in news media due to harmful incidents involving young children engaging with strangers through these mobile apps. To better understand children's awareness of online stranger danger and explore their visions for technologies that can help them manage related online risks (e.g., sexual solicitations and cyberbullying), we held two participatory design sessions with 12 children (ages 8-11 years old). We found that children desired varying levels of agency, depending on the severity of the risk. In most cases, they wanted help resolving the issue themselves instead of relying on their parents to do it for them. Children also believed that social media apps should take on more responsibility in promoting online safety for children. We discuss the children's desires for agency, privacy, and automated intelligent assistance and provide novel design recommendations inspired by children.

HCI researchers have established a number of evidence-based design recommendations for children's touchscreen interfaces based on developmental appropriateness. Yet, these recommendations are scattered within the academic literature and lack a cohesive framework that makes them accessible to app designers. We created a framework of actionable Touchscreen Interaction Design Recommendations for Children (TIDRC, "tide-rock") by conducting a comprehensive review of the relevant literature. We used our TIDRC framework as a lens to empirically evaluate whether these evidence-based design recommendations were implemented within 50 popular iPad apps designed for children. We found a significant gap between research and practice. On average, only 63% of these apps followed design recommendations for meeting children's cognitive (51%), physical (67%), and socio-emotional (72%) needs. We characterize the nature of this gap and discuss opportunities for closing it when designing mobile touchscreen interfaces for children.

Our work investigates body-worn 360° camera placements for telepresence, to balance height and clarity of view. We conducted a user study in a Virtual Reality (VR) simulation, using a 3x3 within-subjects experimental design varying placement and height, with 26 participants. We found that shoulder mounted cameras were significantly less preferable than our other conditions due to the occlusions caused by the wearer’s head. Our results did not show a significant effect of camera height within a range of +/- 12 inches from the user’s natural height. As such, in the context of body-worn 360° cameras, there is leeway for camera height, whereas strategic bodily placements are more important. Based on these results, we provide design recommendations for content creators using wearable cameras for immersive telepresence.

Foster youth are particularly vulnerable to offline risks; yet, little is known about their online risk experiences or how foster parents mediate technology use in the home. We conducted 29 interviews with foster parents of 42 teens (ages 13-17) who were part of the child welfare system. Foster parents faced significant challenges relating to technology mediation in the home. Based on parental accounts, over half of the foster teens encountered high-risk situations that involved interacting with unsafe people online, resulting in rape, sex trafficking, and/or psychological harm. Overall, foster parents were at a loss for how to balance online safety with technology access in a way that engendered positive relationships with their foster teens. Instead, parents often resorted to outright restriction. Our research highlights the importance of considering the unique needs of foster families and designing technologies to address the challenges faced by this vulnerable population of teens and parents.

Collective feedback can support an individual's decision-making process. For instance, individuals often seek the advice of friends, family, and co-workers to help them make privacy decisions. However, current technologies often do not provide mechanisms for this type of collaborative interaction. To address this gap, we propose a novel model of Community Oversight for Privacy and Security ("CO-oPS"), which identifies mechanisms for users to interact with people they trust to help one another make digital privacy and security decisions. We apply our CO-oPS model in the context of mobile applications ("apps"). To interrogate and refine this model, we conducted participatory design sessions with 32 participants in small groups of 2-4 people who know one another, with the goal of designing a mobile app that facilitates collaborative privacy and security decision-making. We describe and reflect on the opportunities and challenges that arise from the unequal motivation and trust in seeking support and giving support within and beyond a community. Through this research, we contribute a novel framework for collaborative digital privacy and security decision-making and provide empirical evidence towards how researchers and designers might translate this framework into design-based features.

Social media privacy features can act as a mechanism for regulating interpersonal relationships, but why do some people not use these features? Through an interview study of 56 social media users, we found two high-level perspectives towards social media and privacy that affected attitudes towards and usage of privacy features. Some users took a pragmatic approach to using social media and felt comfortable using various privacy features as a tool to manage their social relationships (e.g., avoiding bothersome posts, not feeling compelled to interact). However, there were also users who viewed taking such privacy actions as a relational hindrance and were concerned how using certain features to meet their own needs would harm their relationships with others. Through a subsequent survey (N=320), we reveal how these two perspectives impact user behavior across four social media platforms (Facebook, Instagram, LinkedIn, Twitter). Users who viewed social media as a pragmatic tool indeed used privacy features more. On the other hand, users who focused on how privacy can serve as a relational hindrance avoided using these features and, instead, prioritized social engagement and took a more indirect approach to protecting their privacy. Furthermore, the results show how these perspectives vary by individual rather than by privacy feature. These findings demonstrate the need to consider different perspectives towards social media and privacy when trying to understand and design for user behavior.

Past research has shown that humans exhibit certain eye-head responses to the appearance of visual stimuli, and these natural reactions change during different activities. Our work builds upon these past observations by offering new insight to how humans behave in Virtual Reality (VR) compared to Physical Reality (PR). Using eye- and head- tracking technology, and by conducting a study on two groups of users - participants in VR or PR - we identify how often these natural responses are observed in both environments. We find that users statistically move their heads more often when viewing stimuli in VR than in PR, and VR users also move their heads more in the presence of text. We open a discussion for identifying the HWD factors that cause this difference, as this may not only affect predictive models using eye movements as features, but also VR user experience overall.

Mobile applications ("apps") developed to promote online safety for children are underutilized and rely heavily on parental control features that monitor and restrict their child's mobile activities. This asymmetry in parental surveillance initiates an interesting research question -- how do children themselves feel about such parental control apps? We conducted a qualitative analysis of 736 reviews of 37 mobile online safety apps from Google Play that were publicly posted and written by children (ages 8-19). Our results indicate that child ratings were significantly lower than that of parents with 76% of the child reviews giving apps a single star. Children felt that the apps were overly restrictive and invasive of their personal privacy, negatively impacting their relationships with their parents. We relate these findings with HCI literature on mobile online safety, including broader literature around privacy and surveillance, and outline design opportunities for online safety apps.

Adoption rates of parental control applications ("apps") for teens' mobile devices are low, but little is known about the characteristics of parents (or teens) who use these apps. We conducted a web-based survey of 215 parents and their teens (ages 13-17) using two separate logistic regression models (parent and teen) to examine the factors that predicted parental use of technical monitoring apps on their teens' mobile devices. Both parent and teen models confirmed that low autonomy granting (e.g., authoritarian) parents were the most likely to use parental control apps. The teen model revealed additional nuance, indicating that teens who were victimized online and had peer problems were more likely to be monitored by their parents. Overall, increased parental control was associated with more (not fewer) online risks. We discuss the implications of these findings and provide design recommendations for mobile apps that promote online safety through engaged, instead of restrictive, parenting.

This paper focuses on understanding how the key stakeholders of the foster care system work together, as well as the systems that facilitate collaboration. We conducted 20 interviews with foster parents, 2 with non-profit agencies, and 1 case worker interview. Our findings suggest that each stakeholder faces their own unique challenges and sociotechnical systems put in place to assist stakeholders are not sufficient for addressing these concerns. This poster identifies the major stakeholders, their goals and needs, as well as the systems used. Our work helps identify gaps in order to design more effective systems that can better support the foster care system.

As technology and data access continue to evolve, research ethics in the areas of Human-Computer Interaction and social computing are becoming increasingly complex. Despite increasing interest among researchers, there is still a lack of consistent community norms around ethical gray areas. One charge of the SIGCHI ethics committee is to help develop these norms by facilitating open conversations with different stakeholders. This panel will be an opportunity to develop a collective understanding of diverse perspectives on ethics, and to gather input from the GROUP research community around the ethical challenges we face as researchers who study social and collaborative computing systems and those who use these systems.

The purpose of our research is to direct more attention to two relationship privacy boundary strategies: connection avoidance (i.e., rejecting friend/follower requests) and connection termination (i.e., removing existing friends/followers). A survey study was conducted with 222 college students that examined how participants regulated these boundaries with others versus how they perceived others who regulated these boundaries with them ("self" vs. "other") on Facebook, Twitter, and Instagram. Participants reported using relationship avoidance and termination strategies more than they perceived others using these strategies against them. Overall, there were minimal impacts reported in terms of relationship changes due to others avoiding and terminating relationships. Site affordances partially explain these results, as none of the sites currently notify users when a friend request is denied or an existing friendship is severed.

Several tele-monitoring systems have been developed for in-home patient use. Unfortunately, many of these systems are cost prohibitive and privacy invasive to the patient. To overcome this problem, we designed a more affordable and lightweight solution called Carebit, an Android application that leverages the Fitbit API. We conducted two user studies to understand ways to improve our design. Overall, we found that the notifications feature is the most useful feature for users, and no concerns about privacy were mentioned. The goal of Carebit is improve informal caregiving.

Past research has focused on investigating parenting styles in the context of various positive and negative outcomes. We examined the relationship between parenting styles and offline and online adolescent peer problems. We found that parental involvement was associated with fewer peer problems, and strictness/supervision was associated with less frequent online victimization. Higher levels of autonomy granting parenting were associated with less peer problems and online victimization. Further, teens who experienced high levels of peer problems experienced less online victimization when their parents granting them more autonomy, than parents who restricted their autonomy. The findings of this paper set a foundation for parents to consider taking more authoritative approaches to dealing with their teens' offline peer problems as to not exacerbate teens' online risk experiences.

We present a study of the relative effects of gradual versus instantaneous transition between one's own body and a virtual surrogate body, and between one's real-world environment and a virtual environment. The approach uses a stereo camera attached to an HMD to provide the illusions of virtual body ownership and spatial presence in VR. We conducted the study in a static environment which is similar to the traditional rubber hand experiment platform. Since our transition method is a blending scheme between real and virtual contexts, our study investigates the direct use of real-world information during the transition to increase the dominant visual illusion in a virtual space. We also investigate the use of a conceptual stage, called Limbo, which is a transition phase that evokes anticipation of the virtual world, providing a psychological link between the real and virtual before we enter a totally virtual space. Our study of the transition effect shows that the Limbo state has a significant influence in one's illusions of virtual body ownership (VBOI) and presence.

In this paper, we investigate the effects of the physical influence of a virtual human (VH) in the context of face-to-face interaction in augmented reality (AR). In our study, participants played a tabletop game with a VH, in which each player takes a turn and moves their own token along the designated spots on the shared table. We compared two conditions as follows: the VH in the virtual condition moves a virtual token that can only be seen through AR glasses, while the VH in the physical condition moves a physical token as the participants do; therefore the VH's token can be seen even in the periphery of the AR glasses. For the physical condition, we designed an actuator system underneath the table. The actuator moves a magnet under the table which then moves the VH's physical token over the surface of the table. Our results indicate that participants felt higher co-presence with the VH in the physical condition, and participants assessed the VH as a more physical entity compared to the VH in the virtual condition. We further observed transference effects when participants attributed the VH's ability to move physical objects to other elements in the real world. Also, the VH's physical influence improved participants' overall experience with the VH. We discuss potential explanations for the findings and implications for future shared AR tabletop setups.

Teens in the foster care system often have histories that involve severe trauma, such as physical and sexual abuse, substance use, incarceration, and early pregnancy. While studies have investigated foster teens' engagement with high-risk behaviors offline, there is a dearth of information regarding foster teens and their engagement in online activities that may facilitate increased risk behaviors. Moreover, the extent to which technology acts as a positive versus negative influence on foster youth is unclear. We synthesize the current literature on foster youth and online safety to illustrate: 1) the tensions between providing access to networked technologies versus keeping foster youth safe from risks, 2) the lack of empirical research or technology-based interventions to ensure the online safety of foster youth, and 3) the importance of pursuing future research to design solutions that can alleviate some of these tensions. Our goal is to inform researchers, designers, and educators on the importance of keeping in mind the needs of particularly vulnerable populations, such as teens within the foster care system, when designing interactive systems.

We present a comprehensive and structured review of 132 peer-reviewed publications between the years of 2008 and 2015 to inform Human-Computer Interaction (HCI) researchers and interaction designers about the current and multi-disciplinary knowledge on the topic of adolescent online safety and risks. Overall, we found that the existing literature has deeply studied the phenomena around adolescent online safety through an in-depth examination of the prevalence, perceptions, behaviors, characteristics, and outcomes associated with various online risk experiences. However, very few studies have moved beyond formative evaluations that inform design to novel design interventions or summative evaluations of new designs that serve to effectively change the status quo.

Previous research has shown that sketch-based input is efficient and preferable in the context of algebraic equation solving. However, research has not been conducted to evaluate whether this holds true when involving geometry input to facilitate quantitative problem-solving. We developed a bimodal (graphing geometric shapes and writing algebraic expressions) user interface, in order to conduct a within-subject, controlled experiment with 24 college students and varied two types of geometry input: 1) sketch-based input and 2) structured input. The sketch-based input was significantly faster than the structured input, but there were no significant differences based on perception and cognition. However, after a post-hoc analysis, we found a significant interaction effect on perception between prior knowledge and geometry input. Novice students preferred the sketch-based input, but advanced students preferred the structured input. Our study implies that natural sketch-based input may be less preferable than structured input for geometry-based interfaces toward math problem-solving.

We conducted a structured, qualitative feature analysis of 75 Android mobile apps designed for the purpose of promoting adolescent online safety. Through this analysis we identified 42 unique features that mapped to a theoretically derived conceptual framework of teen online safety strategies balanced between parental control strategies (through monitoring, restriction, and active mediation) and teen self-regulation strategies (through self-monitoring, impulse control, and risk-coping). We found that the apps strongly favored features that promote parental control through monitoring and restricting teens' online behaviors over teen self-regulation or more communicative and collaborative practices between parents and teens. We use the lens of value sensitive design to discuss the implications of our results and identify opportunities for designing mobile apps for online safety that embed more positive family values.

Past research has shown that parents tend to underestimate the frequency with which their teens experience online risks. However, little is known about whether and how teens communicate with their parents when online risks do occur. In a two-month, web-based diary study of 68 teen-parent pairs, participants provided separate accounts of the teens' weekly online risk experiences. We found that most teens had little or no communication with their parents regarding their online risk experiences, and parents and teens shared very different perceptions and reactions when risks were reported, helping explain why communication was so poor. We discuss the implications of our results and make recommendations for how researchers and designers may work to improve the state of family communication regarding adolescent online risks in the future.

Cross-sectional research suggests that online risk exposure (e.g., cyberbullying, sexual solicitations, and explicit content) may negatively impact teens, increasing concerns over the risks teens are exposed to online. Yet, there has been little research as to how these experiences impact teens' mood over time, or how long these effects may last. To examine the effects of online risk exposure on mood, we asked 68 teens to report their weekly online risk experiences, emotions, and sense of well-being for two months. We found that teens experienced more negative emotions the week that they reported cyberbullying and exposure to explicit content, but these effects were gone one week later. In addition, teens reported a slight in crease in positive emotions and mental well-being during weeks they were exposed to other risks. Our results suggest that most of the risks teens in our study experienced online only pose brief negative effects, if any, and initiates a discussion on how our society may overly problematize the negative effects of online risk exposure on teens.

In our study, 68 teens spend two months reflecting on their weekly online experiences and report 207 separate risk events involving information breaches, online harassment, sexual solicitations, and exposure to explicit content. We conduct a structured, qualitative analysis to characterize the salient dimensions of their risk experiences, such as severity, level of agency, coping strategies, and whether the teens felt like the situation had been resolved. Overall, we found that teens can potentially benefit from lower risk online situations, which allow them to develop crucial interpersonal skills, such as boundary setting, conflict resolution, and empathy. We can also use the dimensions of risk described in this paper to identify potentially harmful risk trajectories before they become high-risk situations. Our end goal is to find a way to empower and protect teens so that they can benefit from online engagement.

Massive Open Online Courses (MOOCs) have experienced rapid growth and attracted significant attention within aca-demia. However, despite widespread acceptance of MOOCs as a unique opportunity to transform educational practices, many questions remain regarding their sustainability, given the high dropout rates and challenges related to collabora-tive learning support [12]. Recent research has attempted to address these concerns by analyzing students' MOOC expe-riences and how MOOCs may fall short in meeting students' learning needs [41]. However, very little research has approached the problem from an instructor perspective. We report an interview study of 14 MOOC instructors in which we used grounded theory to uncover the complex processes, motivations, and challenges associated with teaching a MOOC. A key finding is that we should provide support through the whole instruction process. By enhancing sup-port for instructors and their MOOC collaborators, we may improve outcomes for all MOOC stakeholders, including students.

Many of the most prominent and unanswered ethical questions within HCI and social computing involve our ethical obligation to the communities that we study. Some of these questions fall under the purview of more traditional human subjects research ethics, but others hinge on when, for example, studies of public data trigger similar obligations. Basic rules to "do no harm" are complicated in digital communities by issues of consent and privacy, and ethics review boards are struggling to keep up even as research communities are similarly struggling to form appropriate norms. The goals of this workshop are to continue seeding conversations about research ethics within the SIGCHI community, to work towards norm setting, and in the meantime, to collectively help community members make good ethical decisions about research into sociotechnical systems and digital communities.

With the growing use of mobile smart phones among teens, adolescent online safety is becoming more and more challenging. To overcome this problem, parental control applications have been developed. Yet, no one knows why these apps have very low adoption rates nor if they are effective. To address this problem, we previously conducted a structured analysis of existing adolescent online safety apps. In this paper, we briefly summarize our previous results and introduce our new approach for gaining additional insights from the actual users of these apps. We summarize our methodology for doing this and present the results of an initial thematic analysis of user reviews of adolescent online safety apps.

The increasing popularity of the Internet and social media is creating new and unique challenges for parents and adolescents regarding the boundaries between parental control and adolescent autonomy in virtual spaces. Drawing on developmental psychology and Communication Privacy Management (CPM) theory, we conduct a qualitative study to examine the challenge between parental concern for adolescent online safety and teens' desire to independently regulate their own online experiences. Analysis of 12 parent–teen pairs revealed five distinct challenges: (a) increased teen autonomy and decreased parental control resulting from teens' direct and unmediated access to virtual spaces, (b) the shift in power to teens who are often more knowledgeable about online spaces and technology, (c) the use of physical boundaries by parents as a means to control virtual spaces, (d) an increase in indirect boundary control strategies such as covert monitoring, and (e) the blurring of lines in virtual spaces between parents' teens and teens' friends.

We cannot fully protect adolescents from experiencing online risks; however, we can aim to better understand how online risk experiences impact teens, factors that contribute to or prevent teens from exposure to risk, as well as factors that can protect teens from psychological harm in spite of online risk exposure. Through a web-based survey study of 75 adolescents in the US, we develop and empirically validate a theoretical model of adolescent resilience in the presence of online risks. We show evidence that resilience is a key factor in protecting teens from experiencing online risks, even when teens exhibit high levels of Internet addiction. Resilience also neutralizes the negative psychological effects associated with Internet addiction and online risk exposure. Therefore, we emphasize the importance of design solutions that foster teen resilience and strength building, as opposed to solutions targeted toward parents that often focus on restriction and risk prevention.

Through a secondary data analysis of a nationally representative Pew survey [35-36], we empirically test the validity of two contrasting theoretical models of adolescent information privacy behaviors. Our results suggest that in seeking to understand the underlying processes of teens' privacy risk-taking and risk-coping behaviors within social media, a "risk-centric" framework may be more useful than a traditional "concern-centric" framework that emphasizes privacy antecedents and outcomes. Our newly proposed and validated "risk-centric" framework implies a possible risk escalation process wherein teens make online disclosures and render themselves more susceptible to experiences of risky online interactions; in turn, these risky experiences are associated with higher levels of teen privacy concern. Higher levels of teen privacy concern predict both advice-seeking and remedy/corrective risk-coping behaviors. Drawing on theories of information privacy and developmental psychology, we discuss these findings from the perspective of allowing teens to experience some level of online risk so that they can learn how to navigate the dangers and reap the benefits of online engagement.

Social Network Sites (SNS) are often characterized as a trade-off where users must give up privacy to gain social benefits. We investigated the alternative viewpoint that users gain the most benefits when SNSs give them the privacy they desire. Applying structural equation modeling to questionnaire data of 303 Facebook users, we examined the complex relationship between privacy and SNS benefits. We found that SNS users whose privacy desires were met reported higher levels of social connectedness (i.e., perceived relational closeness with others) than those who achieved less privacy than they desired. Social connectedness, in turn, played a pivotal role in building social capital (i.e., the benefits derived from relationships with others). These findings suggest that more openness may not always be better; SNSs should aim to achieve 'Privacy Fit' with user needs to enhance user experience and ensure sustained use.

Through an empirical, secondary analysis of 588 teens (ages 12 - 17) and one of their parents living in the USA, we present useful insights into how parental privacy concerns for their teens and different parental mediation strategies (direct intervention versus active mediation) influence teen privacy concerns and privacy risk-taking and risk-coping privacy behaviors in social media. Our results suggest that the use of direct intervention by itself may have a suppressive effect on teens, reducing their exposure to online risks but also their ability to engage with others online and to learn how to effectively cope with online risks. Therefore, it may be beneficial for parents to combine active mediation with direct intervention so that they can protect their teens from severe online risks while empowering teens to engage with others online and learn to make good online privacy choices.

The use of social network sites offers many potential social benefits, but also raises privacy concerns and challenges for users. The trade‐off users have to make between using sites such as Facebook to connect with their friends versus protecting their personal privacy is not well understood. Furthermore, very little behavioral research has focused on how personal privacy concerns are related to information disclosures made by one's friends. Our survey study of 116 Facebook users shows that engaging with friends through tagging activity and third‐party application use is associated with higher levels of personal Facebook usage and a stronger emotional attachment to Facebook. However, users who have high levels of personal privacy concern and perceive a lack of effectiveness in Facebook's privacy policies tend to engage less frequently in tagging and app activities with friends, respectively. Our model and results explore illustrate the complexity of the trade‐off between privacy concerns, engaging with friends through tagging and apps, and Facebook usage.

This paper applies coping theory to understand user adaptation strategies to major interface changes on Social Networking Sites (SNSs). Specifically, we qualitatively examine 1,149 user comments posted to the Facebook's official Timeline blog in order to get a large and unobtrusive sample of real Facebook users' perceptions about the launch of Timeline. Our data suggests a high level of stress associated with the transition to the new interface introduced by Timeline. We also found evidence which suggests that increasing users' perceptions of control over major interface changes may help facilitate user adaptation to these changes. This study offers valuable insights to SNSs for mitigating user stress and facilitating successful adaptation during major interface changes.

Adolescence is characterized by heightened risk-taking and independence from parents; these tendencies seem to be magnified by the opportunities afforded through online interactions. Drawing on Kohlberg's Cognitive Moral Development (CMD) theory, we conduct a qualitative study of 12 parent-adolescent dyads that examines the interplay between parenting behaviors and adolescent moral development. We show an association between adolescent moral judgment and online behavior, and we illustrate how parenting style and mediation strategies influence the teen's moral growth and decision making about online behaviors. We also note that parental mediation strategies are moderated by parents' digital literacy: reduced digital literacy is associated with more restrictive or indulgent strategies; while more digitally competent parents are more likely to monitor and mediate their teen's behaviors as they engage online. We also found that experience, not restriction, facilitates the teen's moral growth.

Sharing information online via social network sites (SNSs) is at an all-time high, yet research shows that users often exhibit a marked dissatisfaction in using such sites. A compelling explanation for this dichotomy is that users are struggling against their SNS environment in an effort to achieve their preferred levels of privacy for regulating social interactions. Our research investigates users' SNS boundary regulation behavior. This paper presents results from a qualitative interview-based study to identify "coping mechanisms" that users devise outside explicit boundary-regulation interface features in order to manage interpersonal boundaries. Our categorization of such mechanisms provides insight into interaction design issues and opportunities for new SNS features.

Geovisualization has traditionally played a critical role in analysis and decision-making, but recent developments have also brought a revolution in widespread online access to geographic data and integration tools, particularly for map-based interfaces. This next generation of geovisualization applications is often characterized by high interactivity and strong end-user participation in both development and use. Building the most effective tools to support user-centered geographic visualization faces a significant challenge, though: very little is known about how people interact with maps. To date, map use research has typically focused on higher order use goals or cognitive interpretations of static map representations. Our research employs Human-Computer Interaction approaches in order to investigate user behaviors that contribute to interactive map use and understanding. This paper describes our approach to studying geovisualization interaction and presents our pilot user studies and initial interaction model. By building a better understanding of how people interact with map interfaces, we will be able to design better user-centered geographic visualizations and learn how to best customize these applications to specific user groups.