People candidly discuss sensitive topics online under the perceived safety of anonymity; yet, for many, this perceived safety is tenuous, as miscalibrated risk perceptions can lead to over-disclosure. Recent advances in Natural Language Processing (NLP) afford an unprecedented opportunity to present users with quantified disclosure-based re-identification risk — i.e., “population risk estimates” (PREs). How can PREs be presented to users in a way that promotes informed decision-making, mitigating risk without encouraging unnecessary self-censorship? Using design fictions and comic-boarding, we story-boarded five design concepts for presenting PREs to users and evaluated them through an online survey with N = 44 Reddit users. We found participants had detailed conceptions of how PREs may impact risk awareness and motivation, but envisioned needing additional context and support to effectively interpret and act on risks. We distill our findings into four key design recommendations for how best to present users with quantified privacy risks to support informed disclosure decision-making.

Responsible AI (RAI) content work, such as annotation, moderation, or red teaming for AI safety, often exposes crowd workers to potentially harmful content. While prior work has underscored the importance of communicating well-being risk to employed content moderators, designing effective disclosure mechanisms for crowd workers while balancing worker protection with the needs of task designers and platforms remains largely unexamined. To address this gap, we conducted individual co-design sessions with 15 task designers, 11 crowdworkers, and 3 platform representatives. We investigated task designer preferences for support in disclosing tasks, worker preferences for receiving risk disclosure warnings, and how platform representatives envision their role in shaping risk disclosure practices. We identify design tensions and map the sociotechnical tradeoffs that shape disclosure practices. We contribute design recommendations and feature concepts for risk disclosure mechanisms in the context of RAI content work.

As AI systems are increasingly tested and deployed in open-ended and high-stakes domains, crowdworkers are often tasked with responsible AI (RAI) content work. These tasks include labeling violent content, moderating disturbing text, or simulating harmful behavior for red teaming exercises to shape AI system behaviors. While prior research efforts have highlighted the risks to worker well-being associated with RAI content work, far less attention has been paid to how these risks are communicated to workers by task designers or individuals who design and post RAI tasks. Existing transparency frameworks and guidelines, such as model cards, datasheets, and crowdworksheets, focus on documenting model information and dataset collection processes, but they overlook an important aspect of disclosing well-being risks to workers. In the absence of standard workflows or clear guidance, the consistent application of content warnings, consent flows, or other forms of well-being risk disclosure remains unclear. This study investigates how task designers approach risk disclosure in crowdsourced RAI tasks. Drawing on interviews with 23 task designers across academic and industry sectors, we examine how well-being risk is recognized, interpreted, and communicated in practice. Our findings highlight the need to support task designers in identifying and communicating risks not only to support crowdworker well-being but also to strengthen the ethical integrity and technical efficacy of AI development pipelines.

Young adults often encounter challenges in career exploration. Self-guided interventions, such as the letter-exchange exercise, where participants envision and adopt the perspective of their future selves by exchanging letters with their envisioned future selves, can support career development. However, the broader adoption of such interventions may be limited without structured guidance. To address this, we integrated Large Language Model (LLM)-based agents that simulate participants' future selves into the letter-exchange exercise and evaluated their effectiveness. A one-week experiment (N=36) compared three conditions: (1) participants manually writing replies to themselves from the perspective of their future selves (baseline), (2) future-self agents generating letters to participants, and (3) future-self agents engaging in chat conversations with participants. Results indicated that exchanging letters with future-self agents enhanced participants' engagement during the exercise, while overall benefits of the intervention on future orientation, career self-concept, and psychological support remained comparable across conditions. We discuss design implications for AI-augmented interventions for supporting young adults' career exploration.

The maker movement embodies a resurgence in DIY creation, merging physical craftsmanship and arts with digital technology support. However, mere technological skills and creativity are insufficient for economically and psychologically sustainable practice. By illuminating and smoothing the path from "maker" to "maker entrepreneur," we can help broaden the viability of making as a livelihood. Our research centers on makers who design, produce, and sell physical goods. In this work, we explore the transition to entrepreneurship for these makers and how technology can facilitate this transition online and offline. We present results from interviews with 20 USA-based maker entrepreneurs (i.e., lamps, stickers), six creative service entrepreneurs (i.e., photographers, fabrication), and seven support personnel (i.e., art curator, incubator director). Our findings reveal that many maker entrepreneurs 1) are makers first and entrepreneurs second; 2) struggle with business logistics and learn business skills as they go; and 3) are motivated by non-monetary values. We discuss training and technology-based design implications and opportunities for addressing challenges in developing economically sustainable businesses around making.

In pseudonymous online fora like Reddit, the benefits of self-disclosure are often apparent to users (e.g., I can vent about my in-laws to understanding strangers), but the privacy risks are more abstract (e.g., will my partner be able to tell that this is me?). Prior work has sought to develop natural language processing (NLP) tools that help users identify potentially risky self-disclosures in their text, but none have been designed for or evaluated with the users they hope to protect. Absent this assessment, these tools will be limited by the social-technical gap: users need assistive tools that help them make informed decisions, not paternalistic tools that tell them to avoid self-disclosure altogether. To bridge this gap, we conducted a study with N =21 Reddit users; we had them use a state-of-the-art NLP disclosure detection model on two of their authored posts and asked them questions to understand if and how the model helped, where it fell short, and how it could be improved to help them make more informed decisions. Despite its imperfections, users responded positively to the model and highlighted its use as a tool that can help them catch mistakes, inform them of risks they were unaware of, and encourage self-reflection. However, our work also shows how, to be useful and usable, AI for supporting privacy decision-making must account for posting context, disclosure norms, and users' lived threat models, and provide explanations that help contextualize detected risks.

In recent years, concerns have increased over the lack of contributor diversity in open source software (OSS), despite its status as a paragon of open collaboration. OSS is an important form of digital infrastructure and part of a career path for many developers. While there exists a growing body of literature on cisgender women's under-representation in OSS, the experiences of contributors from other marginalized groups are comparatively absent from the literature. Such is the case for trans contributors, a historically influential group in OSS. In this study, we interviewed 21 trans participants to understand and represent their experiences in the OSS literature. From their experiences, we theorize two related paradoxes of openness in OSS: the paradox of openness and display and the paradox of openness and governance. In an increasingly violent world for trans people, we draw on our theorizing to build recommendations for more inclusive and safer OSS projects for contributors.

Past work has sought to design AI ethics interventions--such as checklists or toolkits--to help practitioners design more ethical AI systems. However, other work demonstrates how these interventions may instead serve to limit critique to that addressed within the intervention, while rendering broader concerns illegitimate. In this paper, drawing on work examining how standards enact discursive closure and how power relations affect whether and how people raise critique, we recruit three corporate teams, and one activist team, each with prior context working with one another, to play a game designed to trigger broad discussion around AI ethics. We use this as a point of contrast to trigger reflection on their teams' past discussions, examining factors which may affect their ''license to critique'' in AI ethics discussions. We then report on how particular affordances of this game may influence discussion, and find that the hypothetical context created in the game is unlikely to be a viable mechanism for real world change. We discuss how power dynamics within a group and notions of ''scope'' affect whether people may be willing to raise critique in AI ethics discussions, and discuss our finding that games are unlikely to enable direct changes to products or practice, but may be more likely to allow members to find critically-aligned allies for future collective action.

Experiential training, where mental health professionals practice their learned skills, remains the most costly component of therapeutic training. We introduce Pin-MI, a video-call-based tool that supports experiential learning of counseling skills used in motivational interviewing (MI)through interactive role-play as client and counselor. In Pin-MI, counselors annotate, or “pin” the important moments in their role-play sessions in real-time. The pins are then used post-session to facilitate a reflective learning process, in which both client and counselor can provide feedback about what went well or poorly during each pinned moment. We discuss the design of Pin-MI and a qualitative evaluation with a set of healthcare professionals learning MI. Our evaluation suggests that Pin-MI helped users develop empathy, be more aware of their skill usage, guaranteed immediate and targeted feedback, and helped users correct misconceptions about their performance. We discuss implications for the design of experiential training tools for learning counseling skills.

Open-source software projects have become an integral part of our daily life, supporting virtually every software we use today. Since open-source software forms the digital infrastructure, maintaining them is of utmost importance. We present Climate Coach, a dashboard that helps open-source project maintainers monitor the health of their community in terms of team climate and inclusion. Through a literature review and an exploratory survey (N=18), we identified important signals that can reflect a project’s health, and display them on a dashboard. We evaluated and refined our dashboard through two rounds of think-aloud studies (N=19). We then conducted a two-week longitudinal diary study (N=10) to test the usefulness of our dashboard. We found that displaying signals that are related to a project’s inclusion help improve maintainers’ management strategies.

Much of our modern digital infrastructure relies critically upon open sourced software. The communities responsible for building this cyberinfrastructure require maintenance and moderation, which is often supported by volunteer efforts. Moderation, as a non-technical form of labor, is a necessary but often overlooked task that maintainers undertake to sustain the community around an OSS project. This study examines the various structures and norms that support community moderation, describes the strategies moderators use to mitigate conflicts, and assesses how bots can play a role in assisting these processes. We interviewed 14 practitioners to uncover existing moderation practices and ways that automation can provide assistance. Our main contributions include a characterization of moderated content in OSS projects, moderation techniques, as well as perceptions of and recommendations for improving the automation of moderation tasks. We hope that these findings will inform the implementation of more effective moderation practices in open source communities.

User adoption of security and privacy (S&P) best practices remains low, despite sustained efforts by researchers and practitioners. Social influence is a proven method for guiding user S&P behavior, though most work has focused on studying peer influence, which is only possible with a known social graph. In a study of 104 Facebook users, we instead demonstrate that crowdsourced S&P suggestions are significantly influential. We also tested how reflective writing affected participants’ S&P decisions, with and without suggestions. With reflective writing, participants were less likely to accept suggestions — both social and Facebook default suggestions. Of particular note, when reflective writing participants were shown the Facebook default suggestion, they not only rejected it but also (unknowingly) configured their settings in accordance with expert recommendations. Our work suggests that both non-personal social influence and reflective writing can positively influence users’ S&P decisions, but have negative interactions.

Individuals increasingly turn to online freelance platforms to find flexible, remote, knowledge-based work. Yet we have only begun to understand the challenges new freelancers face with limited formal resources to orient themselves to this career. To inform design and policy to support new freelancers, we conducted a qualitative interview study on transitions to online freelance platforms with 27 freelancers working on the Upwork and Fiverr platforms. We found that new freelancers engage in self-directed socialization as they proactively seek support not directly provided by the platform or their clients. This support helps them resolve professional identity ambiguity, learn platform work self-management, build credibility, and overcome self-doubt in their new careers. Our findings suggest opportunities to support new forms of socialization and mentorship to address disparities in access to networks, resources, and knowledge needed to successfully begin an online freelance career.

Open source software represents an important form of digital infrastructure as well as a pathway to technical careers for many developers, but women are drastically underrepresented in this setting. Although there is a good body of literature on open source participation, there is very little understanding of the participation trajectories and contribution experiences of women developers, and how they compare to those of men developers, in open source software projects. In order to understand their joining and participation trajectories, we conducted interviews with 23 developers (11 men and 12 women) who became core in an open source project. We identify differences in women and men's motivations for initial contributions and joining processes (e.g. women participating in projects that they have been invited to) and sustained involvement in a project. We also describe unique negative experiences faced by women contributors in this setting in each stage of participation. Our results have implications for diversifying participation in open source software and understanding open source as a pathway to technical careers.

Account sharing is a common, if officially unsanctioned, practice among workgroups, but so far understudied in higher education. We interview 23 workgroup members about their account sharing practices at a U.S. university. Our study is the first to explicitly compare IT and non-IT observations of account sharing as a "normal and easy" workgroup practice, as well as to compare student practices with those of full-time employees. We contrast our results with those in prior works and offer recommendations for security design and for IT messaging. Our findings that account sharing is perceived as low risk by our participants and that security is seen as secondary to other priorities offer insights into the gap between technical affordances and social needs in an academic workplace such as this.?

With the growing ubiquity of wearable devices, sensed physiological responses provide new means to connect with others. While recent research demonstrates the expressive potential for biosignals, the value of sharing these personal data remains unclear. To understand their role in communication, we created Significant Otter, an Apple Watch/iPhone app that enables romantic partners to share and respond to each other’s biosignals in the form of animated otter avatars. In a one-month study with 20 couples, participants used Significant Otter with biosignals sensing OFF and ON. We found that while sensing OFF enabled couples to keep in touch, sensing ON enabled easier and more authentic communication that fostered social connection. However, the addition of biosignals introduced concerns about autonomy and agency over the messages they sent. We discuss design implications and future directions for communication systems that recommend messages based on biosignals.

The amount of autonomy in software engineering tools is increasing as developers build increasingly complex systems. We study factors influencing software engineers’ trust in an autonomous tool situated in a high stakes workplace, because research in other contexts shows that too much or too little trust in autonomous tools can have negative consequences. We present the results of a ten week ethnographic case study of engineers collaborating with an autonomous tool to write control software at the National Aeronautics and Space Administration to support high stakes missions. We find that trust in an autonomous software engineering tool in this setting was influenced by four main factors: the tool’s transparency, usability, its social context, and the organization’s associated processes. Our observations lead us to frame trust as a quality the operator places in their collaboration with the automated system, and we outline implications of this framing and other results for researchers studying trust in autonomous systems, designers of software engineering tools, and organizations conducting high stakes work with these tools.

People with mental distress are increasingly turning to one-to-one synchronous communication websites to receive peer support from other members. Though some research has identified benefits and challenges of online peer-support, there is a limited understanding of how to best prepare and scaffold for untrained peer supporters as they attempt to become skillful in an online setting. We recruited 30 (15 pairs) participants to engage in an online support conversation about procrastination problems, gave one member of each pair minimal training in the principles and strategies of motivational interviewing, and used interviews and conversation transcripts to examine challenges novice helpers faced when providing support and learning new conversational skills. We presented the helpers with two conversation goals to achieve with the conversation: building understanding, and promoting readiness for change. The research identified the common strategies the helpers used to achieve these goals and the challenges they faced. We also discuss theoretical and design implications for platform designers to better scaffold this experience.

The rapid growth of open source software necessitates a deeper understanding of moderation and governance methods currently used within these projects. The code of conduct, a set of rules articulating standard behavior and responsibilities for participation within a community, is becoming an increasingly common policy document in open source software projects for setting project norms of behavior and discouraging negative or harassing comments and conversation. This study describes the conversations around adopting and crafting a code of conduct as well as those utilizing code of conduct for community governance. We conduct a qualitative analysis of a random sample of GitHub issues that involve the code of conduct. We find that codes of conduct are used both proactively and reactively to govern community behavior in project issues. Oftentimes, the initial addition of a code of conduct does not involve much community participation and input. However, a controversial moderation act is capable of inciting mass community feedback and backlash. Project maintainers balance the tension between disciplining potentially offensive forms of speech and encouraging broad and inclusive participation. These results have implications for the design of inclusive and effective governance practices for open source software communities.

While most online accounts are designed assuming a single user, past work has found that romantic couples often share many accounts. Our study examines couples' account sharing behaviors as their relationships develop. We conducted 19 semi-structured interviews with people who are currently in romantic relationships to understand couples' account sharing behaviors over the lifecycle of their relationship. We find that account sharing behaviors progress through a relationship where major changes happen at the start of cohabitation, marriage, and occasional breakup. We also find that sharing behaviors and motivations are influenced by couples' relationship ecology, which consists of the dynamics between the couples and the social environment they live in. Based on these findings, we discuss implications for further study to support couples' sharing needs at different relationship stages and identify design opportunities for technology solutions to facilitate couples' sharing.

Work of all kinds increasingly takes place via networked digital environments that support diverse modes of collaboration. Previous work has investigated how collaborative writing takes place in shared and open workspaces. This study investigates how the "fork-and-pull'' model of distributed version management, now widely utilized in software development, supports coordination and public contribution in collaborative writing. We employ a case study approach to understand coordination around written artifacts in an open pull-based environment. Through interviews and archival analysis of two open text projects: a mathematics textbook on homotopy type theory (HoTT) and open source policies by 18F, a branch of federal agency, we reconstruct how text artifacts were created. We find that in both cases an intensive multi-channel communication among a small core preceded an explicit release action in the form of public communication to solicit broader contribution. Our analysis reveals a dichotomy between two modes of collaboration: a perfecting mode of crafting a public written document versus an evolution mode. In perfecting, authors used the fork-and-pull model to manage contributions refining the text to a more correct version. In evolution, authors used the fork-and-pull model to use a written artifact as a template and starting point, customizing it to their relevant scope. Based on our results, we consider how we might design systems and policies to support pull-based coordination around written artifacts and the forms it takes.

A major reason why people don't use security tools online is that they perceive them as difficult and challenging, resulting in the lack of self-efficacy. Previous research has looked at improving user security attitude and practices through a variety of interventions, including transformational games. These games, targeted at improving security attitude and promoting change through gameplay, offer a new perspective on cybersecurity education. In this research we present the design and evaluation of Hacked Time, a desktop game that uses an integrative approach that incorporates Bandura's self-efficacy design framework to improve player self-efficacy. Using a randomized control trial (n=178), we demonstrate that our game is effective in improving player's security attitude and self-efficacy for using cybersecurity tools. We discuss how our design pattern can serve as an exemplar to enhance player self-efficacy in other fields.

Online freelancing is growing rapidly. However, despite this rapid growth, we have a limited understanding of online freelancers' long-term experiences and evolution, or how online freelancing influences freelancers' broader career goals. To address this gap, we interviewed a set of online freelancers at two time periods, two and a half years apart. We found that long-term engagement with online freelancing involves a unique set of financial, emotional, relational, and reputational burdens that represent the overhead of maintaining an online freelancing career. We found that this overhead influenced online freelancers' participation and perceptions of online freelancing over time, as well as the strategies some freelancers employed to manage their careers. Our findings further highlight how online freelance platforms can afford unique career development opportunities over a longer period of time, including career exploration and transition, entrepreneurial training and reputation, and skills transfer. Based on our findings, we present policy and design implications to increase the sustainability and accessibility of online freelancing.

While online developer forums are major resources of knowledge for application developers, their roles in promoting better privacy practices remain underexplored. In this paper, we conducted a qualitative analysis of a sample of 207 threads (4772 unique posts) mentioning different forms of personal data from the /r/androiddev forum on Reddit. We started with bottom-up open coding on the sampled posts to develop a typology of discussions about personal data use and conducted follow-up analyses to understand what types of posts elicited in-depth discussions on privacy issues or mentioned risky data practices. Our results show that Android developers rarely discussed privacy concerns when talking about a specific app design or implementation problem, but often had active discussions around privacy when stimulated by certain external events representing new privacy-enhancing restrictions from the Android operating system, app store policies, or privacy laws. Developers often felt these restrictions could cause considerable cost yet fail to generate any compelling benefit for themselves. Given these results, we present a set of suggestions for Android OS and the app store to design more effective methods to enhance privacy, and for developer forums(e.g., /r/androiddev) to encourage more in-depth privacy discussions and nudge developers to think more about privacy.

Despite slow adoption in the US, mobile payments are thede facto solution for hundreds of millions of users in China for everything from paying bills to riding buses, from sending virtual "Red Packets'' to buying money-market funds. In this paper, we use the theoretical lens of infrastructure to study users' interactions with ubiquitous mobile payment systems in China, focusing on Alipay and WeChat Pay, the two dominant apps on the market. Based on data from a survey (n=466) and follow-up interviews (n=12) with users in China, we describe the diverse usage patterns across physical, social, and digital ubiquity, and a series of challenges people face. Reflecting on the lessons we learned from the Chinese case -- in particular, problems and pitfalls -- we discuss some implications both for design and for policy. Our findings have important implications for other countries that have been moving towards greater adoption of mobile payments.

Although people frequently seek mentoring or advice for their career, most mentoring is performed in person. Little research has examined the nature and quality of career mentoring online. To address this gap, we study how people use online Q&A forums for career advice. We develop a taxonomy of career advice requests based on a qualitative analysis of posts in a career-related online forum, identifying three key types: best practices, career threats, and time-sensitive requests. Our quantitative analysis of responses shows that both requesters and external viewers value general information, encouragement, and guidance, but not role modeling. We found no relation between the type of requests and features of responses, nor differences in responses valued by requesters versus external viewers. We present design recommendations for supporting online career advice exchange.

We explore the potential for expressive biosignals, or displays of sensed physiological data as social cues, to influence perceptions of a member of a stigmatized group. In a between-subjects experiment (N=62) participants read a fictional interview with a drug addict in prison, and rated their empathy and closeness with the interviewee. Participants were randomly assigned to read either 1) the transcript of the interview by itself, 2) the transcript with a text description of the interviewee's heart rate, or 3) the transcript with a graph of the interviewee's heart rate. Results demonstrate that providing information about heart rate can increase empathy in terms of emotional perspective-taking. Additionally, visualizing the heart rate as a graph, as opposed to text, can increase closeness. We discuss the implications of these results and present suggestions for future directions.

Work is being digitized across all sectors, and digital account sharing has become common in the workplace. In this paper, we conduct a qualitative and quantitative study of digital account sharing practices in the workplace. Across two surveys, we examine the sharing process at work, probing what accounts people share, how and why they share those accounts, and identifying the major challenges people face in sharing accounts. Our results demonstrate that account sharing in the modern workplace serves as a norm rather than a simple workaround; centralizing collaborative activity and reducing boundary management effort are key motivations for sharing. But people still struggle with a lack of activity accountability and awareness, conflicts over simultaneous access, difficulties controlling access, and collaborative password use. Our work provides insights into the current difficulties people face in workplace collaboration with online account sharing, as a result of inappropriate designs that still assume a single-user model for accounts. We highlight opportunities for CSCW and HCI researchers and designers to better support sharing by multiple people in a more usable and secure way.

News coverage of security and privacy (S&P) events is pervasive and may affect the salience of S&P threats to the public. To better understand this coverage and its effects, we asked: What types of S&P news come into people's awareness? How do people hear about and share this news? Over two years, we recruited 1999 participants to fill out a survey on emergent S&P news events. We identified four types of S&P news: financial data breaches, corporate personal data breaches, high sensitivity systems breaches, and politicized / activist cybersecurity. These event types strongly correlated with how people shared S&P news-e.g., financial data breaches were shared most (42%), while politicized / activist cybersecurity events were shared least (21%). Furthermore, participants' age, gender and security behavioral intention strongly correlated with how they heard about and shared S&P news-e.g., males more often felt a personal responsibility to share, and older people were less likely to hear about S&P news through conversation.

Collective intelligence (CI), a group's capacity to perform a wide variety of tasks, is a key factor in successful collaboration. Group composition, particularly diversity and member social perceptiveness, are consistent predictors of CI, but we have limited knowledge about the mechanisms underlying their effects. To address this gap, we examine how physiological synchrony, as an indicator of coordination and rapport, relates to CI in computer-mediated teams, and if synchrony might serve as a mechanism explaining the effect of group composition on CI. We present results from a laboratory experiment where 60 dyads completed the Test of Collective Intelligence (TCI) together online and rated their group satisfaction, while wearing physiological sensors. We find that synchrony in facial expressions (indicative of shared experience) was associated with CI and synchrony in electrodermal activity (indicative of shared arousal) with group satisfaction. Furthermore, various forms of synchrony mediated the effect of member diversity and social perceptiveness on CI and group satisfaction. Our results have important implications for online collaborations and distributed teams.

Feedback is information that can improve task performance. Online communities, educational forums, and crowd-based feedback platforms all support feedback exchange among a more diverse set of sources than ever before, with greater control over how to moderate this exchange. In this work, we study how the power relationship between the source and receiver and the tone of language influence the recep-tivity, effort, and work performance resulting from online feedback exchange. We conducted an online experiment manipulating affective language and source of feedback on a writing task. We found that critiques with positive affec-tive language increased positive emotions and reduced participants' annoyance and frustration, which led to an increase in work quality, compared to critiques without positive language. Feedback without positive affective language led to more edits, but not better work outcomes. Participants reacted more positively to feedback from an anonymous source than from a peer or an authority. Our findings provide design implications for platforms to support more fruitful feedback exchange.

Online communities have the potential to be supportive, cruel, or anywhere in between. The development of positive norms for interaction can help users build bonds, grow, and learn. Using millions of messages sent in Twitch chatrooms, we explore the effectiveness of methods for encouraging and discouraging specific behaviors, including taking advantage of imitation effects through setting positive examples and using moderation tools to discourage antisocial behaviors. Consistent with aspects of imitation theory and deterrence theory, users imitated examples of behavior that they saw, and more so for behaviors from high status users. Proactive moderation tools, such as chat modes which restricted the ability to post certain content, proved effective at discouraging spam behaviors, while reactive bans were able to discourage a wider variety of behaviors. This work considers the intersection of tools, authority, and types of behaviors, offering a new frame through which to consider the development of moderation strategies.

We are exploring the concept of expressive biosignals: leveraging wearable technologies to introduce sensed physiological data as cues for social perception. Biosignals can help us achieve a deeper understanding of each other by revealing or clarifying the psychological processes that underlie our subjective experience. We conducted an exploratory study investigating expressive biosignals, comparing the influence of a variety of brain activity visualizations on impression formation. Results revealed that while participants readily infer emotional and cognitive states from visualized brain activity, the ambiguity of the data can lead to diverse perceptions and interpretations. Participants also expressed concerns that the observation of another individual's data during interaction might be invasive or distracting. We present a set of design considerations addressing issues of interpretability, integration, and privacy of biosignals in interpersonal contexts.

A new kind of online movement has emerged on social media: identity hashtag movements, through which individuals share "selfies" and personal stories to elucidate the experiences of marginalized social groups. These movements have the potential to counteract bias and enable social justice, but are enacted in a forum rife with identity and boundary management concerns. To understand this type of movement, we present a qualitative study of #ILookLikeAnEngineer, a hashtag created to challenge engineering stereotypes. We interviewed 32 people, including participants and non-participants of the movement, about their experiences with the hashtag. We found that personally identifiable participation promoted feelings of empowerment and strengthened connections within the marginalized community. At the same time, the personal and professional identity focus raised ambiguity about the boundaries of the collective and the movement's ability to change stereotypes. We discuss implications for online collective action and the use of social media for addressing stereotypes.

Anonymity online is important to people at times in their lives. Anonymous communication applications such as Whisper and YikYak enable people to communicate with strangers anonymously through their smartphones. We report results from semi-structured interviews with 18 users of these apps. The goal of our study was to identify why and how people use anonymous apps, their perceptions of their audience and interactions on the apps, and how these apps compare with other online social communities. We present a typology of the content people share, and their motivations for participation in anonymous apps. People share various types of content that range from deep confessions and secrets to lighthearted jokes and momentary feelings. An important driver for participation and posting is to get social validation from others, even though they are anonymous strangers. We also find that participants believe these anonymous apps allow more honesty, openness, and diversity of opinion than they can find elsewhere. Our results provide implications for how anonymity in mobile apps can encourage expressiveness and interaction among users.

Managers are increasingly using online contributions to make hiring decisions. However, it is nontrivial to find the relevant information of candidates in large online, global communities. We present Visual Resume, a novel tool that aggregates information on contributions across two different types of peer production sites (a code hosting site and a technical Q&A forum). Visual Resume displays summaries of developers' contributions, and allows easy access to contribution details. It also facilitates pairwise comparisons of candidates through a card-based design. Our study, involving participants from global organizations or corporations that draw from the global community, indicates that Visual Resume facilitated hiring decisions, both technical and soft skills were important when making these decisions.

Software algorithms are changing how people work in an ever-growing number of fields, managing distributed human workers at a large scale. In these work settings, human jobs are assigned, optimized, and evaluated through algorithms and tracked data. We explore the impact of this algorithmic, data-driven management on human workers and work practices in the context of Uber and Lyft, new ridesharing services. Our findings from a qualitative study describe how drivers responded when algorithms assigned work, provided informational support, and evaluated their performance, and how drivers used online forums to socially make sense of the algorithm features. Implications and future work are discussed.

Websites can record individual users' activities and display them in a variety of ways. There is a tradeoff between detail and abstraction in visualization, especially when the amount of content increases and becomes more difficult to process. We conducted an experiment on Mechanical Turk varying the quality, detail, and visual presentation of information about an individual's past work to see how these design features affected perceptions of the worker. We found that providing detail in the display through text increased processing time and led to less positive evaluations. Visually abstract displays required less processing time but decreased confidence in evaluation. This suggests that different design parameters may engender differing psychological processes that influence reactions towards an unknown person.

Social influence is key in technology adoption, but its role in security-feature adoption is unique and remains unclear. Here, we analyzed how three Facebook security features' Login Approvals, Login Notifications, and Trusted Contacts-diffused through the social networks of 1.5 million people. Our results suggest that social influence affects one's likelihood to adopt a security feature, but its effect varies based on the observability of the feature, the current feature adoption rate among a potential adopter's friends, and the number of distinct social circles from which those feature-adopting friends originate. Curiously, there may be a threshold higher than which having more security feature adopting friends predicts for higher adoption likelihood, but below which having more feature-adopting friends predicts for lower adoption likelihood. Furthermore, the magnitude of this threshold is modulated by the attributes of a feature-features that are more noticeable (Login Approvals, Trusted Contacts) have lower thresholds.

Telepresence means business people can make deals in other countries, doctors can give remote medical advice, and soldiers can rescue someone from thousands of miles away. When interaction is mediated, people are removed from and lack context about the person they are making decisions about. In this paper, we explore the impact of technological mediation on risk and dehumanization in decision-making. We conducted a laboratory experiment involving medical treatment decisions. The results suggest that technological mediation influences decision making, but its influence depends on an individual's self-construal: participants who saw themselves as defined through their relationships (interdependent self-construal) recommended riskier and more painful treatments in video conferencing than when face-to-face. We discuss implications of our results for theory and future research.

In a variety of peer production settings, from Wikipedia to open source software development to crowdsourcing, individuals may encounter, edit, or review the work of unknown others. Typically this is done without much context to the person's past behavior or performance. To understand how exposure to an unknown individual's activity history influences attitudes and behaviors, we conducted an online experiment on Mechanical Turk varying the content, quality, and presentation of information about another Turker's work history. Surprisingly, negative work history did not lead to negative outcomes, but in contrast, a positive work history led to positive initial impressions that persisted in the face of contrary information. This work provides insight into the impact of activity history design factors on psychological and behavioral outcomes that can be of use in other related settings.

Increasingly, the advice people receive on the Internet is socially transparent in the sense that it displays contextual information about the advice-givers or their actions. We hypothesize that activity transparency -seeing an advice giver's process while creating his or her recommendations - will increase advice taking. We report three experiments testing the effect of activity transparency on taking mediocre advice. We found that the presence of a web history increased the likelihood of following a financial advisor's advice and reduced participant earnings (Exp. 1), especially when the web history implied greater task focus (Exp. 2, 3). CSCW research usually emphasizes how to increase information sharing; this work suggests when shared information may be inappropriate. We suggest ways to counter activity transparency's potential downsides.

One of the largest outstanding problems in computer security is the need for higher awareness and use of available security tools. One promising but largely unexplored approach is to use social proof: by showing people that their friends use security features, they may be more inclined to explore those features, too. To explore the efficacy of this approach, we showed 50,000 people who use Facebook one of 8 security announcements'7 variations of social proof and 1 non-social control-to increase the exploration and adoption of three security features: Login Notifications, Login Approvals, and Trusted Contacts. Our results indicated that simply showing people the number of their friends that used security features was most effective, and drove 37% more viewers to explore the promoted security features compared to the non-social announcement (thus, raising awareness). In turn, as social announcements drove more people to explore security features, more people who saw social announcements adopted those features, too. However, among those who explored the promoted features, there was no difference in the adoption rate of those who viewed a social versus a non-social announcement. In a follow up survey, we confirmed that the social announcements raised viewer's awareness of available security features.

Various mechanisms exist to secure users' passwords, yet users continue to struggle with the complexity of multiple password management. We explore the effectiveness of a feedback loop to improve users' password management. We introduce YourPassword, a web-based application that uses feedback to inform users about the security of their password behavior. YourPassword has two main components: a password behavior checker that converts password strengths into numerical scores and a dashboard interface that visualizes users' overall password behavior and provides visual feedback in real time. YourPassword not only provides a total score on all passwords, but also visualizes when passwords are too similar to each other. To test the efficacy of YourPassword, we conducted a between-subjects experiment and think-aloud test with 48 participants. Participants either had access to YourPassword, an existing commercial password checker, or no password tool (control condition). YourPassword helped participants improve their password behavior as compared with the commercial tool or no tool.

Communities of practice have traditionally supported learning and knowledge exchange within a professional field. However, little work to date has examined how individuals use social network functionality for professional development in these types of communities. We present a qualitative investigation into how the social transparency provided by SNS functionality influences two important components of professional activity: social learning and professional identity development. We focus on activity within Dribbble, a social media enabled community of practice for graphic designers. Through a series of interviews with novice and experienced Dribbble users who work within and outside of traditional organizations, we identified ways they leverage social media features for learning and skill development. We find that benefits of the site are dependent on extensive social capital development activities in order to garner attention for posted work. Our results inform the design of online social settings for professional development.

Researchers and theorists have proposed that feelings of attachment to subgroups within a larger online community or site can increase users' loyalty to the site. They have identified two types of attachment, with distinct causes and consequences. With bond-based attachment, people feel connections to other group members, while with identity-based attachment they feel connections to the group as a whole. In two experiments we show that these feelings of attachment to subgroups increase loyalty to the larger community. Communication with other people in a subgroup but not simple awareness of them increases attachment to the larger community. By varying how the communication is structured, between dyads or with all group members simultaneously, the experiments show that bond- and identity-based attachment have different causes. But the experiments show no evidence that bond and identity attachment have different consequences. We consider both theoretical and methodological reasons why the consequences of bond-based and identity-based attachment are so similar.

Open source software is commonly portrayed as a meritocracy, where decisions are based solely on their technical merit. However, literature on open source suggests a complex social structure underlying the meritocracy. Social work environments such as GitHub make the relationships between users and between users and work artifacts transparent. This transparency enables developers to better use information such as technical value and social connections when making work decisions. We present a study on open source software contribution in GitHub that focuses on the task of evaluating pull requests, which are one of the primary methods for contributing code in GitHub. We analyzed the association of various technical and social measures with the likelihood of contribution acceptance. We found that project managers made use of information signaling both good technical contribution practices for a pull request and the strength of the social connection between the submitter and project manager when evaluating pull requests. Pull requests with many comments were much less likely to be accepted, moderated by the submitter's prior interaction in the project. Well-established projects were more conservative in accepting pull requests. These findings provide evidence that developers use both technical and social information when evaluating potential contributions to open source software projects.

Open source software projects often rely on code contributions from a wide variety of developers to extend the capabilities of their software. Project members evaluate these contributions and often engage in extended discussions to decide whether to integrate changes. These discussions have important implications for project management regarding new contributors and evolution of project requirements and direction. We present a study of how developers in open work environments evaluate and discuss pull requests, a primary method of contribution in GitHub, analyzing a sample of extended discussions around pull requests and interviews with GitHub developers. We found that developers raised issues around contributions over both the appropriateness of the problem that the submitter attempted to solve and the correctness of the implemented solution. Both core project members and third-party stakeholders discussed and sometimes implemented alternative solutions to address these issues. Different stakeholders also influenced the outcome of the evaluation by eliciting support from different communities such as dependent projects or even companies. We also found that evaluation outcomes may be more complex than simply acceptance or rejection. In some cases, although a submitter's contribution was rejected, the core team fulfilled the submitter's technical goals by implementing an alternative solution. We found that the level of a submitter's prior interaction on a project changed how politely developers discussed the contribution and the nature of proposed alternative solutions.

Workers in microtask work environments such as Mechanical Turk typically do not know if or how they fit into a workflow. The research question we posed here was whether displaying information about the number of other workers doing the same task would motivate better or poorer work quality. In experiment 1, we varied the information about co-workers presented to the worker and the number of his or her co-workers: "you" or "you alone" are doing a task, or "you" plus 5, 15, or 50 co-workers. We compared these conditions with a no-social information control. In experiment 2, we crossed the number of co-workers (5 vs. 50) with the type of incentive (individual or group). Results show that visual presentations of co-workers changed workers' perceptions of co-workers, and that the more co-workers participants perceived, the lower their work quality. We suggest future work to determine the kinds of co-worker information that will reduce or increase work quality in microtask settings.

Social networking tools now allow professionals to post and share their work in online spaces. These professionals build reputation within a community of practice, often with the goal of finding a job. But how are the visible traces of their actions and interactions in online workspaces used in the hiring process? We conducted interviews with members of the GitHub "social coding" community to understand how profiles on the site are used to assess people during recruitment and hiring for software development positions. Both employers and job seekers pointed to specific cues provided on profiles that led them to make inferences (or form impressions) about a candidate's technical skills, motivations, and values. These cues were seen as more reliable indicators of technical abilities and motivation than information provided on a resume, because of the transparency of work actions on GitHub and relative difficulty of manipulating behavior traces. The use of online workspaces like GitHub has implications for the type of information sought by employers as well as the activity traces job hunters might seek to leave.

In this paper we describe a qualitative investigation of impression formation in an online distributed software development community with social media functionality. We find that users in this setting seek out additional information about each other to explore the project space, inform future interactions, and understand the potential future value of a new person. They form impressions around other users' expertise based on history of activity across projects, and successful collaborations with key high status projects in the community. These impressions influence their receptivity to strangers' work contributions.

Theories about commitment in online settings and empirical evidence from offline environments suggest that greater communication in online groups should lead members to become more committed and participate longer. However, experimental evidence is sparse, in part because of difficulties inducing communication online. Moreover, previous work has not identified the route by which communication leads to increased commitment. In this paper, we investigated whether task versus social communication modeled by a leader versus a peer influenced the amount that group members talked and their willingness to continue participating in the group. We conducted an experiment within ad hoc groups in the online game World of Warcraft. Results suggest that communication early in a group's history causes members to talk more later on and that the early communication increases their commitment through its influence on group atmosphere rather than through increased member participation. Social communication by a peer is especially valuable in increasing commitment.

Turnover is commonplace in many online groups because of low barriers of entry and exit. In offline settings, turnover can have a negative impact because of reduced attachment to the group as an entity. However, in an online setting, turnover in terms of changes in the visible membership of a group may have a very different impact. Online only a limited amount of information about members and their activities is observable; in particular, it is easier to see the behavior of the subset of members who are active than the potentially larger set who are not. In this paper, we describe an experiment examining the influence of visible membership turnover on commitment to an online group. Our results suggest that increased turnover in an online group may increase social presence, creating perceptions of liveness, in turn leading to increased levels of participation in the group. However, this result holds primarily for groups with a common identity, suggesting that attention to behavior of others may be stronger when people share an identity with those others. Our results extend understandings of attachment in an online setting as well as theory about social tuning.

Social applications on the web let users track and follow the activities of a large number of others regardless of location or affiliation. There is a potential for this transparency to radically improve collaboration and learning in complex knowledge-based activities. Based on a series of in-depth interviews with central and peripheral GitHub users, we examined the value of transparency for large-scale distributed collaborations and communities of practice. We find that people make a surprisingly rich set of social inferences from the networked activity information in GitHub, such as inferring someone else's technical goals and vision when they edit code, or guessing which of several similar projects has the best chance of thriving in the long term. Users combine these inferences into effective strategies for coordinating work, advancing technical skills and managing their reputation.

An emerging Internet trend is greater social transparency, such as the use of real names in social networking sites, feeds of friends' activities, traces of others' re-use of content, and visualizations of team interactions. Researchers lack a systematic way to conceptualize and evaluate social transparency. The purpose of this paper is to develop a framework for thinking about social transparency. This framework builds upon multiple streams of research, including prior work in CSCW on social translucence, awareness, and visual analytics, to describe three dimensions of online behavior that can be made transparent. Based on the framework, we consider the social inferences transparency supports and introduce a set of research questions about social transparency's implications for computer-supported collaborative work and information exchange.

Interdependent tasks in Mechanical Turk (MTurk) can be managed efficiently with a workflow, a sequence of tasks through which work passes to its completion. We ask if workers should be informed about the workflow, which we call workflow transparency. Transparency could motivate workers or induce social loafing. We describe three experiments to determine the effects of workflow transparency in MTurk. We compared a text description of the workflow, a visualization of the workflow, and the combination of text and visualization with a control condition giving no workflow information. Workflow transparency marginally increased volunteerism on a charity identification task (experiment 1) and significantly increased volunteerism and quality on a business identification task (experiment 2). Results were weaker with a less experienced worker sample (experiment 3). We suggest further research on the design of workflow information to increase workers' motivation.

Self-interruptions account for a significant portion of task switching in information-centric work contexts. However, most of the research to date has focused on understanding, analyzing and designing for external interruptions. The causes of self-interruptions are not well understood. In this paper we present an analysis of 889 hours of observed task switching behavior from 36 individuals across three high-technology information work organizations. Our analysis suggests that self-interruption is a function of organizational environment and individual differences, but also external interruptions experienced. We find that people in open office environments interrupt themselves at a higher rate. We also find that people are significantly more likely to interrupt themselves to return to solitary work associated with central working spheres, suggesting that self-interruption occurs largely as a function of prospective memory events. The research presented contributes substantially to our understanding of attention and multitasking in context.

The quantity of email people receive each day can be overwhelming. Previous research suggests that when handling email, individuals prioritize certain messages for attention over others. Since people generally make this decision about which message to read before opening the email, the question largely unanswered in the email literature is: what surface features of an email draw attention to it? In this research, we examined how top-level cues about an email's content influence attention to email. We describe results from a think-aloud study examining people's stated rationale for prioritizing certain emails over others. Based on these results and theory on curiosity, we conducted an experiment examining how message importance, subject line specificity, workload and personal utility influence attention to email. Results suggest that uncertainty about message content at the inbox level increases the likelihood of attention to a message. The influence of uncertainty diminishes, however, in the face of enhanced task and personal utility cues and increased demand, suggesting that curiosity operates in an intrinsic way in the email context. Our results have implications for intelligent email system design, email client interfaces, and reducing email strain.

The existence and survival of online communities depends upon the commitment and retention of their members. This paper compares alternative ways of designing online sites to increase member commitment. We report the results of two experiments conducted within a Facebook game application. The results show that designs can increase commitment and retention of players either by visually highlighting individual members, or by emphasizing the community as a whole. These designs influence commitment through different routes.

In this research we examined the impact of photo sharing on attitudes and behaviors towards local versus distant team members. In an online experiment, we varied content and presentation of photos shared by a hypothetical team spanning two locations. We found similarity in shared photo content promoted pro-social behaviors towards team members regardless of location. We also found that the way the photos were organized moderated the impact of photo similarity, with diverging effects towards local versus distant team members. Our results indicate that photo sharing can promote positive behavior towards distant others under certain conditions. These results can inform the nature of photo sharing for team building.

As ubiquitous computing becomes increasingly mobile and social, personal information sharing will likely increase in frequency, the variety of friends to share with, and range of information that can be shared. Past work has identified that whom you share with is important for choosing whether or not to share, but little work has explored which features of interpersonal relationships influence sharing. We present the results of a study of 42 participants, who self-report aspects of their relationships with 70 of their friends, including frequency of collocation and communication, closeness, and social group. Participants rated their willingness to share in 21 different scenarios based on information a UbiComp system could provide. Our findings show that (a) self-reported closeness is the strongest indicator of willingness to share, (b) individuals are more likely to share in scenarios with common information (e.g. we are within one mile of each other) than other kinds of scenarios (e.g. my location wherever I am), and (c) frequency of communication predicts both closeness and willingness to share better than frequency of collocation.

Coordinating activities across groups in systems engineering or product development projects is critical to project success, but substantially more difficult when the work is innovative and dynamic. It is not clear how technology should best support cross-group collaboration on these types of projects. Recent work on coordination in dynamic settings has identified cross-boundary knowledge exchange as a critical mechanism for aligning activities. In order to inform the design of collaboration technology for creative work settings, we examined the nature of cross-group knowledge exchange in an innovative engineering research project developing a lunar rover robot as part of the Google Lunar X-Prize competition. Our study extends the understanding of communication and coordination in creative design work, and contributes to theory on coordination. We introduce four types of cross-team knowledge exchange mechanisms we observed on this project and discuss challenges associated with each. We consider implications for the design of collaboration technology to support cross-team knowledge exchange in dynamic, creative work environments.

The typical information worker is interrupted every 12 minutes, and half of the time they are interrupting themselves. However, most of the research on interruption in the area of human-computer interaction has focused on understanding and managing interruptions from external sources. Internal interruptions -- user-initiated switches away from a task prior to its completion -- are not well understood. In this paper we describe a qualitative study of self-interruption on the computer. Using a grounded theory approach, we identify seven categories of self-interruptions in computer-related activities. These categories are derived from direct observations of users, and describe the motivation, potential consequences, and benefits associated with each type of self-interruption observed. Our research extends the understanding of the self-interruption phenomenon, and informs the design of systems to support discretionary task interleaving on the computer.

The popularity of online games, particularly casual games, has increased tremendously in recent years. Often these game experiences involve partner-based or multi-player interactions. Previous work has shown that computer-mediated interactions and online activities with a stranger have the potential to impact attitudes and liking for that person. Can experiences in online games have a similar impact? This paper presents results from two experiments suggesting that cooperative online game experiences (even without any direct communication interactions) can significantly impact liking for another person and perceptions of that person's characteristics. Implications for the design of online "team-building" style game experiences are briefly discussed.

Almost every office worker can relate to feelings of email overload and stress, but in reality the concept of email strain is not well understood. In this paper, we describe a large-scale nationwide organizational survey examining the relationship between email use and feelings of email overload and task coordination. We found that higher email volume was associated with increased feelings of email overload, but this relationship was moderated by certain email management strategies. The contribution to the field of CSCW is a better understanding of the concept of email related stress, and initial scale development for the assessment of email-related overload and perceptions of the work-importance of email.

Email consumes significant time and attention in the workplace. We conducted an organizational survey to understand how and why people attend to incoming email messages. We examined people's ratings of message importance and the actions they took on specific email messages, based on message characteristics and characteristics of receivers and senders. Respondents kept half of their new messages in the inbox and replied to about a third of them. They rated messages as important if they were about work and required action. Importance, in turn, had a modest impact on whether people replied to their incoming messages and whether they saved them. The results indicate that factors other than message importance (e.g., their social nature) also determine how people handle email. Overall, email usage reflects attentional differences due both to personal propensities and to work demands and relationships.

We introduce a new interactive system: a game that is fun and can be used to create valuable output. When people play the game they help determine the contents of images by providing meaningful labels for them. If the game is played as much as popular online games, we estimate that most images on the Web can be labeled in a few months. Having proper labels associated with each image on the Web would allow for more accurate image search, improve the accessibility of sites (by providing descriptions of images to visually impaired individuals), and help users block inappropriate images. Our system makes a significant contribution because of its valuable output and because of the way it addresses the image-labeling problem. Rather than using computer vision techniques, which don't work well enough, we encourage people to do the work by taking advantage of their desire to be entertained.

Spontaneous communication is common in the workplace but can be disruptive. Such communication usually benefits the initiator more than the target of the disruption. Previous research has indicated that awareness displays showing the workload of a target can reduce the harm interruptions inflict, but can increase the cognitive load on interrupters. This paper describes an experiment testing whether team membership influences interrupters' motivation to use awareness displays and whether the informational-intensity of a display influences its utility and cost. Results indicate interrupters use awareness displays to time communication only when they and their partners are rewarded as a team and that this timing improves the target's performance on a continuous attention task. Eye-tracking data shows that monitoring an information-rich display imposes a substantial attentional cost on the interrupters, and that an abstract display provides similar benefit with less distraction.