As artificial intelligence (AI) is rapidly integrated into healthcare, ensuring that this innovation helps to combat health inequities requires engaging marginalized communities in health AI futuring. However, little research has examined Black populations’ perspectives on the use of AI in health contexts, despite the widespread health inequities they experience–inequities that are already perpetuated by AI. Addressing this research gap, through qualitative workshops with 18 Black adults, we characterize participants’ cautious optimism for health AI addressing structural well-being barriers (e.g., by providing second opinions that introduce fairness into an unjust healthcare system), and their concerns that AI will worsen health inequities (e.g., through health AI biases they deemed inevitable and the problematic reality of having to trust healthcare providers to use AI equitably). We advance health AI research by articulating previously-unreported health AI perspectives from a population experiencing significant health inequities, and presenting key considerations for future work.

OBJECTIVES: In 2023, AMIA's Inclusive Language and Context Style Guidelines (the "Guidelines") were approved by the Board of Directors and made a publicly available resource. This work began in 2021 through AMIA's DEI Task Force and subsequent DEI Committee; many members provided input, feedback, and time to create the Guidelines. In this paper, the authors provide a transparent account of the origin, development, contents, and dissemination of the Guidelines and share plans for their future development and use. MATERIALS AND METHODS: Our approach to drafting, refining, and distributing the Guidelines included consulting existing language guides, AMIA member reviews, external expert reviews, webinars, and workshops. Through an iterative approach to drafting and refining the Guidelines, the authors consulted relevant language guidelines and many experts throughout and beyond the AMIA community. RESULTS: The Inclusive Language Context Guidelines were formally approved by the AMIA Board of Directors on February 15, 2023. The Guidelines included four principles to be considered in scientific communications: Plurality, Precision, Transparency, and Destigmatization. DISCUSSION: A moment of vulnerability where an AMIA member raised concerns about the use of harmful language during a presentation resulted in the creation of a principled approach to support inclusive language within biomedical and health informatics communications. We envision that the Guidelines will support health equity by challenging dominant public narratives around health, fostering stronger interdisciplinary collaboration and critical thinking about the impact of language, and creating a more welcoming environment for the broader AMIA community. This work could not have been completed without the support of many AMIA members and other researchers in biomedical and health informatics. The Guidelines are a living document that will continue to be updated with input and feedback from the AMIA community into the future.

Many laypeople are motivated to improve the health behavior of their family or friends but do not know where to start, especially if the health behavior is potentially stigmatizing or controversial. We present an approach that uses virtual agents to coach community-based volunteers in health counseling techniques, such as motivational interviewing, and allows them to practice these skills in role-playing scenarios. We use this approach in a virtual agent-based system to increase COVID-19 vaccination by empowering users to influence their social network. In a between-subjects comparative design study, we test the effects of agent system interactivity and role-playing functionality on counseling outcomes, with participants evaluated by standardized patients and objective judges. We find that all versions are effective at producing peer counselors who score adequately on a standardized measure of counseling competence, and that participants were significantly more satisfied with interactive virtual agents compared to passive viewing of the training material. We discuss design implications for interpersonal skills training systems based on our findings.

In the era of digital communication, misinformation on social media threatens the foundational trust in these platforms. While myriad measures have been implemented to counteract misinformation, the complex relationship between these interventions and the multifaceted dynamics of trust and distrust on social media remains underexplored. To bridge this gap, we surveyed 1,769 participants in the U.S. to gauge their trust and distrust in social media and examine their experiences with anti-misinformation features. Our research demonstrates how trust and distrust in social media are not simply two ends of a spectrum; but can also co-exist, enriching the theoretical understanding of these constructs. Furthermore, participants exhibited varying patterns of trust and distrust across demographic characteristics and platforms. Our results also show that current misinformation interventions helped heighten awareness of misinformation and bolstered trust in social media, but did not alleviate underlying distrust. We discuss theoretical and practical implications for future research.

The COVID-19 pandemic broke down the human infrastructure of many community-based programs, disrupting in-person care services for low-resourced families. Yet, minimal work has explored how actors repair these breakdowns and how other infrastructures may interfere with repairs in such contexts. Interviewing adolescents and adults affiliated with a youth empowerment program, we used the pandemic to examine how a human infrastructure that previously facilitated a sense of community broke down and how members attempted to repair this infrastructure. While organized activities, resources, and interpersonal interactions aligned to facilitate in-person care that established a sense of community, incorporating information and communication technologies to align a sociotechnical infrastructure during social restrictions could not overcome multiple constraints imposed by other infrastructures that limited this sense of community. We discuss limitations to care and aligning together multiple disjointed infrastructures, calling for CSCW researchers to critically consider asset-based design as a methodology that might help sustain a community's well-being.

Personal health informatics systems have been centered around individual efforts, overlooking the role of social factors in health. Over seven years of research ( n \(=\) 153), we examined how socially-enabled personal informatics systems can support physical activity—a behavior critical in promoting physical and mental health. We prioritized exploring this topic with families in low-socioeconomic status (SES) neighborhoods because they face increased barriers to being active due to inequities. Through our systems development, qualitative studies, and theoretical foundation, we developed the Socio-Cognitive Framework for Personal Health Informatics systems that shows how five socio-cognitive concepts (aspirations, data exposure, stories, belongingness, and impediments) influence self-efficacy and outcome expectations that are linked to health behavior. We then provide recommendations on how to design and evaluate such systems. We further argue that socially-enabled health informatics tools can support marginalized communities in reducing health disparities through the collective efforts of families, neighbors, and peers.

Social injustices are commonly discussed on social media, presenting opportunities for youth to engage with this content and develop into engaged citizens. While much has been written about youths’ online activism, less is known about how engaging with sociopolitical content may build their capacity for activist work. We explore the extent to which youths’ engagement with sociopolitical content on various social media platforms is associated with critical consciousness—an awareness of inequities, the motivation to address them, and action that combats injustice. To investigate this relationship, we conducted a survey with 339 high school-aged youths. While sociopolitical engagement on some platforms was positively associated with youths’ critical consciousness measures, sociopolitical engagement on other platforms was negatively associated. Qualitative post-hoc analysis was used to suggest reasons for possible differences. In light of our findings, we discuss the relationship between online sociopolitical engagement and critical consciousness and suggest directions for future work.

In the United States (U.S.), Black women in the perinatal period disproportionately experience higher rates of mental health challenges like anxiety and postpartum depression. Digital platforms present promising opportunities for mental health support. However, the extent to which these tools are being adopted and satisfying the mental health needs amongst perinatal Black women is underexplored. To address this gap, we surveyed 101 pregnant and postpartum Black women in the U.S. Despite prior work showing low utilization of mental health services amongst Black women, our results show more than half of our participants using specific digital tools for mental health support (e.g., mobile apps and social media). Importantly, use and satisfaction with these tools varied by subgroups (e.g., income and education level). We use our findings to present recommendations for digital mental health intervention research that incorporates an understanding of intersectional identities during the perinatal period.

Faith institutions provide social support and community care for many in the United States (U.S.). Notably, churches with predominantly Black populations have served as a site for social change and care provision, historically and in contemporary society. However, the pandemic has emphasised how localising these care networks in physical spaces can limit access to social support. Information and communication technologies offer opportunities for expanding access to care in these communities. However, integrating care networks into online contexts remains a challenge for many churches, and the potential for technology to expand these networks is not well understood. Through interviews and focus groups with nine church members, we explore how hybrid faith communities that bridge offline and online contexts can enable social support and care provision. Our findings highlight care network structures in Black churches, barriers to embedding these networks online and strategies for building more seamless hybrid support systems.

Do people trust social media? If so, why, in what contexts, and how does that trust impact their lives? Researchers, companies, and journalists alike have increasingly investigated these questions, which are fundamental to understanding social media interactions and their implications for society. However, trust in social media is a complex concept, and there is conflicting evidence about the antecedents and implications of trusting social media content, users, and platforms. More problematic is that we lack basic agreement as to what trust means in the context of social media. Addressing these challenges, we conducted a systematic review to identify themes and challenges in this field. Through our analysis of 70 papers, we contribute a synthesis of how trust in social media is defined, conceptualized, and measured, a summary of trust antecedents in social media, an understanding of how trust in social media impacts behaviors and attitudes, and directions for future work.

Large language models have abilities in creating high-volume human-like texts and can be used to generate persuasive misinformation. However, the risks remain under-explored. To address the gap, this work first examined characteristics of AI-generated misinformation (AI-misinfo) compared with human creations, and then evaluated the applicability of existing solutions. We compiled human-created COVID-19 misinformation and abstracted it into narrative prompts for a language model to output AI-misinfo. We found significant linguistic differences within human-AI pairs, and patterns of AI-misinfo in enhancing details, communicating uncertainties, drawing conclusions, and simulating personal tones. While existing models remained capable of classifying AI-misinfo, a significant performance drop compared to human-misinfo was observed. Results suggested that existing information assessment guidelines had questionable applicability, as AI-misinfo tended to meet criteria in evidence credibility, source transparency, and limitation acknowledgment. We discuss implications for practitioners, researchers, and journalists, as AI can create new challenges to the societal problem of misinformation.

Abstract We stumble upon new and repeating information daily. As information comes from many sources, social media continues to play a predominant role in disseminating information, ultimately impacting individuals’ perceptions and behaviors. A prime example of this impact was observed during the COVID-19 pandemic, in which social media use was influencing willingness to receive the COVID-19 vaccine. While studies on this relationship between social media use and vaccination intent have been widely investigated, less is known about the mechanisms that link these two variables, specifically the types of information seen on social media platforms and the effects of these different types of information. In this exploratory study, we demonstrate the mediator role of information exposure (to include both types of information and frequency) between social media use and vaccination intent. Our results show that different types of information mediate this relationship differently and demonstrate how these relationships were further moderated by the income level of the participant. We conclude with the implications of these findings and how our findings can inform the direction of future research within the field of human–computer interaction.

Peer matching can enhance the impact of social health technologies. By matching similar peers, online health communities can optimally facilitate social modeling that supports positive health attitudes and moods. However, little work has examined how to operationalize similarities in digital health tools, thus limiting our ability to perform optimal peer matching. To address this gap, we conducted a factorial experiment to examine how three categories of similarity variables (i.e., Demographic, Ability, Experiential) can be used to perform peer matching that supports the social modeling of physical activity. We focus this study on physical activity because it is a health behavior that reduces the risk of chronic diseases. We also prioritized this study for single-caregiver mothers who often face substantial barriers to being active because of immense employment and household responsibilities, especially Black single-caregiver mothers. We recruited 309 single-caregiver mothers (49% Black, 51% white), then we asked them to listen to peer audio storytelling about family physical activity. We randomly matched/mismatched the storyteller's profile using the three categories of similarity variables. Our analyses demonstrated that matching by Demographic variables led to a significantly higher Physical Activity Intention. Furthermore, our subgroup analyses indicated that Black single-caregiver mothers experienced a significant and immediate effect of peer matching in Physical Activity Intention, Self-efficacy, and mood. In contrast, white single-caregiver mothers did not report any significant immediate effect. Collectively, our data suggest that peer matching in health storytelling is potentially beneficial for racially minoritized groups; and that having diverse representations in health technology is required for promoting health equity.

During the COVID-19 pandemic, a number of data visualizations were created to inform the public about the rapidly evolving crisis. Data dashboards, a form of information dissemination used during the pandemic, have facilitated this process by visualizing statistics regarding the number of COVID-19 cases over time. Prior work on COVID-19 visualizations has primarily focused on the design and evaluation of specific visualization systems from technology-centered perspectives. However, little is known about what occurs behind the scenes during the visualization creation processes, given the complex sociotechnical contexts in which they are embedded. Yet, such ecological knowledge is necessary to help characterize the nuances and trajectories of visualization design practices in the wild, as well as generate insights into how creators come to understand and approach visualization design on their own terms and for their own situated purposes. In this research, we conducted a qualitative interview study among dashboard creators from federal agencies, state health departments, mainstream news media outlets, and other organizations that created (often widely-used) COVID-19 dashboards to answer the following questions: how did visualization creators engage in COVID-19 dashboard design, and what tensions, conflicts, and challenges arose during this process? Our findings detail the trajectory of design practices-from creation to expansion, maintenance, and termination-that are shaped by the complex interplay between design goals, tools and technologies, labor, emerging crisis contexts, and public engagement. We particularly examined the tensions between designers and the general public involved in these processes. These conflicts, which often materialized due to a divergence between public demands and standing policies, centered around the type and amount of information to be visualized, how public perceptions shape and are shaped by visualization design, and the strategies utilized to deal with (potential) misinterpretations and misuse of visualizations. Our findings and lessons learned shed light on new ways of thinking in visualization design, focusing on the bundled activities that are invariably involved in human and nonhuman participation throughout the entire trajectory of design practice.

When considering the democratic intentions of co-design, designers and design researchers must evaluate the impact of power imbalances embedded in common design and research dynamics. This holds particularly true in work with and for marginalized communities, who are frequently excluded in design processes. To address this issue, we examine how existing design tools and methods are used to support communities in processes of community building or reimagining, considering the influence of race and identity. This paper describes our findings from 27 interviews with community design practitioners conducted to evaluate the Building Utopia toolkit, which employs an Afrofuturist lens for speculative design processes. Our research findings support the importance of design tools that prompt conversations on race in design, and tensions between the desire for imaginative design practice and the immediacy of social issues, particularly when designing with Black and brown communities.

HCI researchers have increasingly examined how social context shapes health behaviors. Much of this work operates at the interpersonal level. Communities such as churches play important roles in supporting wellbeing and addressing health inequities. While some work has investigated creating digital health tools for religious populations, few have explicitly focused on the incorporation of community support in the form of prayer support. Embedding health interventions in any community has the potential to support or challenge the community’s dynamics. We report on findings from interviews with 17 church members who used a church-based mHealth application over a 4-week period and provide guidelines for developers based on these results. Through their use of the system, participants characterized several community dynamics including a desire for social intimacy, communicating care, creating opportunities for fellowship, maintaining privacy and discretion, and building community connections, and how these dynamics influence their aspirations for a church-based health app.

The world population is projected to rapidly age over the next 30 years. Given the increasing digital technology adoption amongst older adults, researchers have investigated how technology can support aging populations. However, little work has examined how technology can support older adults during crises, despite increasingly common natural disasters, public health emergencies, and other crisis scenarios in which older adults are especially vulnerable. Addressing this gap, we conducted focus groups with older adults residing in coastal locations to examine to what extent they felt technology could support them during emergencies. Our findings characterize participants’ desire for tools that enhance community resilience-local knowledge, preparedness, community relationships, and communication, that help communities withstand disasters. Further, older adults’ crisis technology preferences were linked to their sense of control, social relationships, and digital readiness. We discuss how a focus on community resilience can yield crisis technologies that more effectively support older adults.

During crises like COVID-19, individuals are inundated with conflicting and time-sensitive information that drives a need for rapid assessment of the trustworthiness and reliability of information sources and platforms. This parallels evolutions in information infrastructures, ranging from social media to government data platforms. Distinct from current literature, which presumes a static relationship between the presence or absence of trust and people’s behaviors, our mixed-methods research focuses on situated trust, or trust that is shaped by people’s information-seeking and assessment practices through emerging information platforms (e.g., social media, crowdsourced systems, COVID data platforms). Our findings characterize the shifts in trustee (what/who people trust) from information on social media to the social media platform(s), how distrust manifests skepticism in issues of data discrepancy, the insufficient presentation of uncertainty, and how this trust and distrust shift over time. We highlight the deep challenges in existing information infrastructures that influence trust and distrust formation.

Churches have historically played an important role in Black American communities, catalyzing the pursuit of aims such as social justice, community organization, and health promotion. However, researchers have rarely examined how technology can support an assets-based approach to these efforts, nor the implications of race, traditions, and history when creating such systems. Addressing this gap, we conducted research with two predominantly Black churches to explore health promotion design opportunities. We used photovoice, a research method where participants led their own data collection and analysis. Participants provided nuanced descriptions of the racial and ethnic identities of their communities, and how church history and aspirations for the future impacted these identities. Our findings characterize tensions between tradition and ‘modernization,’ implications for technology design, and the need for a temporal approach to understanding communities. We conclude with broader implications for studying the intersection of race and religion in community technology design.

Physical activity (PA) is crucial for reducing the risk of obesity, an epidemic that disproportionately burdens families of low-socioeconomic status (SES). While fitness tracking tools can increase PA awareness, more work is needed to examine (1) how such tools can help people benefit from their social environment, and (2) how reflections can help enhance PA attitudes. We investigated how fitness tracking tools for families can support social modeling and self-modeling (through reflection), two critical processes in Social Cognitive Theory. We developed StoryMap, a novel fitness tracking app for families aimed at supporting both modes of modeling. Then, we conducted a five-week qualitative study evaluating StoryMap with 16 low-SES families. Our findings contribute an understanding of how social and self-modeling can be implemented in fitness tracking tools and how both modes of modeling can enhance key PA attitudes: self-efficacy and outcome expectations. Finally, we propose design recommendations for social personal informatics tools.

In response to COVID-19, a vast number of visualizations have been created to communicate information to the public. Information exposure in a public health crisis can impact people’s attitudes towards and responses to the crisis and risks, and ultimately the trajectory of a pandemic. As such, there is a need for work that documents, organizes, and investigates what COVID-19 visualizations have been presented to the public. We address this gap through an analysis of 668 COVID-19 visualizations. We present our findings through a conceptual framework derived from our analysis, that examines who, (uses) what data, (to communicate) what messages, in what form, under what circumstances in the context of COVID-19 crisis visualizations. We provide a set of factors to be considered within each component of the framework. We conclude with directions for future crisis visualization research.

Digital health research—the investigation of how technology can be designed to support wellbeing—has exploded in recent years. Much of this innovation has stemmed from advances in the fields of human-computer interaction and artificial intelligence. A growing segment of this work is examining how information and communication technologies (ICTs) can be used to achieve health equity, that is, fair opportunities for all people to live a healthy life. Such advances are sorely needed, as there exist large disparities in morbidity and mortality across population groups. These disparities are due in large part to social determinants of health, that is, social, physical, and economic conditions that disproportionately inhibit wellbeing in populations such as low-socioeconomic status and racial and ethnic minority groups.

Physical activity (PA) is critical for reducing the risk of obesity, a prevalent health concern that burdens low-socioeconomic status (SES) households. While self-tracking apps can increase PA, encouraging app engagement remains a challenge, thus limiting the app's efficacy. To understand how to better support caregiver's motivation to use family health apps, we designed and evaluated Storywell?a mobile app for promoting family PA. Guided by Self-Determination Theory, Storywell provides social rewards (e.g., storybooks with interactive reflective questions) aimed at supporting relatedness and motivation. Our 3-month qualitative study with 18 families revealed satisfying moments that can affect caregiver's motivation. We contribute new knowledge on designing satisfying moments that heighten the motivation to use health apps, especially for low-SES families who face many barriers to using such systems.

Churches play a major role in providing social support to address health inequities within Black communities, in part by connecting members to key organizations and services. While public health has a history of disseminating interventions in faith communities, little work has explored the use of crowdsourcing to tailor interventions to the unique culture of each church community. Following Community Based Participatory Research principles, we partnered with two predominantly Black churches, and report on a series of three participatory design sessions with nine participants. We developed a novel storyboarding method to explore how crowdsourcing could promote health in these faith-based communities. Our findings characterize existing supports within the church community, and how church social structures impact member access to these supports. We further identify motivations to engage with a church-situated health application, and how these motivations translate to crowdsourcing tasks. Finally, we discuss considerations for public health crowdsourcing tasks.

Mass emergencies increasingly pose significant threats to human life, with a disproportionate burden being incurred by older adults. Research has explored how mobile technology can mitigate the effects of mass emergencies. However, less work has examined how mobile technologies support older adults during emergencies, considering their unique needs. To address this research gap, we interviewed 16 older adults who had recent experience with an emergency evacuation to understand the perceived value of using mobile technology during emergencies. We found that there was a lack of awareness and engagement with existing crisis apps. Our findings characterize the ways in which our participants did and did not feel crisis informatics tools address human values, including basic needs and esteem needs. We contribute an understanding of how older adults used mobile technology during emergencies and their perspectives on how well such tools address human values.

Culturally informed design for virtual agents has been shown to positively impact health outcomes when tailored to target audiences. We present a participatory design methodology for culturally tailoring virtual agents. Investigators worked with key informants from our target population, members of predominantly Black church communities, to design culturally-relevant and sensitive virtual agent health promotion interventions. In the first participatory session, key informants designed agents to assist them with different aspects of their lives, providing input on agent appearance and agent functionality. In a second design session, participants re-wrote the content of a health conversation with an agent, to include personally-relevant content related to their community (e.g., religious and scriptural references). We report design principles for religious tailoring derived from these studies. We conducted a validation study to assess the effects of applying these principles to agents that promoted two health behaviors, finding that participants responded very positively to the tailored agents.

Social Networking Sites (SNS) provide a platform for engaging youth in activism (e.g., by helping mobilize civic action). While youth typically employ casual approaches to online activism (i.e., quick actions, such as broadcast posts to advertise social justice events), more strategic practices (i.e., those that are more creative and informed) can increase the likelihood of successful online campaigns. However, little work has examined how youth activists can be supported to use SNS more strategically. To address this research gap, we conducted interviews with youth activists, exploring how youth made sense of social network visualizations and their perspectives on how such tools could support their activism efforts. Our findings characterize how participants made inferences about followers? identities based on their hashtag use, and how they used those inferences in outreach decisions. We conclude with design implications for future research in this area.

Social Networking Sites (SNS) offer youth activists and youth empowerment organizations (where adults help youth address community issues) opportunities for civic action. Impression management is critical to youth empowerment organizations' work online, as they attempt to influence the opinions of their audience. However, there is a dearth of research characterizing online impression management in the context of youth empowerment organizations. To address this research gap, we conducted a qualitative study investigating the use of SNS in a youth empowerment organization. Using Goffman's dramaturgical model, we characterized how youth tried to hack SNS algorithms, and their desire to better identify their audience. Our findings reveal how youth use SNS to create authentic images and connections with their audience. On the other hand, we discuss adults' desire to convey a curated organizational image and challenges that arose. We conclude with design implications for tools that support impression management online for youth activists.

Caregivers of persons with dementia (PWD) experience higher rates of stress, social isolation, and poor mental and physical health compared to non-caregiving populations. There is a vital need for engaging, sustainable, and scalable resources to support social, physical, and emotional wellbeing amongst caregivers of PWD. To explore this open design space, we designed and conducted a 6-week mixed-method evaluation of Go&Grow, a pervasive social exergame in which flowers grow as users increase physical activity and interact with other caregivers of PWD. Our findings showed that using Go&Grow helped participants relieve stress, increase physical activity, and develop empathy for and patience towards the loved one with dementia that they cared for. At the same time, tension arose as some caregivers desired to learn about the life challenges that Go&Grow users faced, while others hesitated to share such content. We discuss our findings and recommendations for future technology that promotes caregivers' time for themselves, understanding of PWD, and connections with other caregivers.

Wearable activity trackers can encourage physical activity (PA)-a behavior critical for preventing obesity and reducing the risks of chronic diseases. However, prior work has rarely explored how these tools can leverage family support or help people think about strategies for being active-wo factors necessary for achieving regular PA. In this 2-month qualitative study, we investigated PA tracking practices amongst 14 families living in low-income neighborhoods, where obesity is prevalent. We characterize how social discussions of PA data rarely extended beyond the early stages of experiential learning, thus limiting the utility of PA trackers. Caregivers and children rarely analyzed their experiences to derive insights about the meaning of their PA data for their wellbeing. Those who engaged in these higher-order learning processes were often influenced by parenting beliefs shaped by personal health experiences. We contribute recommendations for how technology can more effectively support family experiential learning using PA tracking data.

The social stigma looming over disclosures of sexual violence discourages many women from publicly sharing their stories, limiting their ability to seek support and obscuring the epidemic of sexual violence against women. By inviting women to share their ordinarily silenced stories, the hashtag #MeToo surfaced a network of survivors to confront this stigma. Through a mixed-methods analysis of over 1.8 million tweets posted during the first two weeks after #MeToo gained widespread popularity in 2017, we map the landscape of disclosures that emerged and disentangle the effects of network-level reciprocal disclosures, or disclosures made in reaction to seeing others disclose. We detail how survivors disclosed a diversity of sexual violence experiences in solidarity with others, composing nearly half of all authored tweets and comprising a disproportionate number of interactions within the #MeToo network. Further, we show that the more disclosures an individual potentially saw prior to disclosing, the more likely they were to share details with their disclosure. We argue that such network-level reciprocal disclosures may have reduced stigma, creating a counterpublic space safe for disclosure which, subsequently, generated more disclosures. Our work illustrates how feminist hashtag activism, like #MeToo, can unify individual and collective narratives to dismantle the stigma surrounding disclosures of sexual violence. Content warning: This article heavily discusses issues of sexual violence against women.

The number of informal caregivers for family members with Alzheimer's Disease (AD) is rising dramatically in the United States. AD caregivers disproportionately experience numerous health problems and are often isolated with little support. An active lifestyle can help prevent and mitigate physical and psychological health concerns amongst AD caregivers. Research has demonstrated how pervasive exergames can encourage physical activity (PA) in the general population, yet little work has explored how these tools can address the significant PA barriers that AD caregivers face. To identify opportunities for design, we conducted semi-structured interviews and participatory design sessions with 14 informal caregivers of family members with AD. Our findings characterize how becoming an AD caregiver profoundly impacts one's ability to be active, perspectives on being active, and the ways that exergames might best support this population.We discuss implications for design and howour findings challenge existing technological approaches to PA promotion.

Throughout the world, organizations empower youth to participate in civic engagement to impact social change, and adult-youth collaborations are instrumental to the success of such initiatives. However, little is known about how technology supports this activism work, despite the fact that tools such as Social Networking Applications (SNAs) are increasingly being leveraged in such contexts. We report results from a qualitative study of SNA use within a youth empowerment organization. Using the analytical lens of object-oriented publics, our findings reveal opportunities and challenges that youth and staff face when they use SNAs. We describe the illegibility of youth outreach efforts on SNAs, and how this illegibility complicated staff attempts to hold youth accountable. We also characterize how youth and staff differed in what they felt were socially appropriate uses of SNA features, and tensions that arose in the co-use of these tools. We conclude with implications for the design of collaborative technologies that support youth-led activism in organizational contexts.

Low-socioeconomic status (SES) families face increased barriers to physical activity (PA)-a behavior critical for reducing and preventing chronic disease. Research has explored how wearable PA trackers can encourage increased activity, and how the adoption of such trackers is driven by people's emotions and social needs. However, more work is needed to understand how PA trackers are perceived and adopted by low-SES families, where PA may be deprioritized due to economic stresses, limited resources, and perceived crime. Accordingly, we conducted a two-month, in-depth qualitative study, exploring low-SES caregivers' perspectives on PA tracking and promotion. Our findings show how PA tracking was impacted by caregivers' attitudes toward safety, which were influenced by how they perceived social connections within their neighborhoods; and cognitive-emotional processes. We conclude that PA tracking tools for low-SES families should help caregivers and children to experience and celebrate progress.

Diverse disciplines, including Human-Computer Interaction have explored how mobile health (mHealth) applications can transform healthcare and health promotion. Increasingly, research has explored how mHealth tools can promote healthy behaviors within vulnerable populations-groups that disproportionately experience barriers to wellness. We conducted a systematic review of 83 papers from diverse disciplines to characterize the design and impact of mHealth tools in low-socioeconomic (low-SES) and racial/ethnic minority individuals. Our findings highlight that the diversity within low-SES and racial/ethnic minority groups was not reflected in the populations studied. Most studies focused on improving the health of individuals, often neglecting factors at the community and society levels that influence health disparities. Moreover, few improvements in health outcomes were demonstrated. We further discuss factors that acted as barriers and facilitators of mHealth intervention adoption. Our findings highlight trends that can drive critically needed digital health innovations for vulnerable populations.

HCI research has increasingly examined how sensing technologies can help people capture and visualize data about their health-related behaviors. Yet, few systems help people reflect more fundamentally on the factors that influence behaviors such as physical activity (PA). To address this research gap, we take a novel approach, examining how such reflections can be stimulated through a medium that generations of families have used for reflection and teaching: storytelling. Through observations and interviews, we studied how 13 families interacted with a low-fidelity prototype, and their attitudes towards this tool. Our prototype used storytelling and interactive prompts to scaffold reflection on factors that impact children's PA. We contribute to HCI research by characterizing how families interacted with a story-driven reflection tool, and how such a tool can encourage critical processes for behavior change. Informed by the Transtheoretical Model, we present design implications for reflective informatics systems.

Individual empowerment is defined as an increased sense of confidence and control over one's life. Empowerment is critical in low-income communities, and can be facilitated through the development of social, financial and human capital. We present a qualitative study of a community program that seeks to empower low-income neighborhood residents through a mobile application that connects them to local resources. Our findings highlight how the application and offline socio-organizational mechanisms worked in tandem to create gateways for capital building-sparking connections (to people and opportunities) that residents leveraged with varying motivations and outcomes. We also discuss how the interplay of newly-developed financial, social, and human capital contributed to residents' sense of empowerment and impacted their families. We contribute to CSCW by extending an existing community informatics framework, characterizing the value of sociotechnical systems that holistically build social, financial, and human capital amongst neighborhood residents.

Social networking applications (SNAs) have been touted as promising platforms for activism: they provide a platform by which voices can be heard and collective action mobilized. Yet, little work has studied the suitability of existing SNAs for enabling youth advocacy efforts. We conducted an intensive 5-week qualitative study with 10th graders to understand how existing SNAs support and inhibit youth advocacy. We contribute to the field of Human-Computer Interaction (HCI) by explicating several themes regarding the barriers youth face when using SNAs for advocacy, features in existing SNAs that are not suitable for youth advocacy, and the peer pressure youth perceive when advocating for serious issues in these environments. We conclude with recommendations for how existing SNA features could be reformed to better support youth advocacy.

Our work contributes to the growing body of CSCW research examining how technology can encourage wellness. In a 10-week participatory design study, we examined how technology can help teens overcome intra-personal and social barriers to healthy eating and positive relationships (the wellness topics of greatest interest to our participants). Our findings revealed teens' desire for expressive technology that helps them initiate dialogue, negotiate conflicts, and restrict communication with family, and their desired degree of engagement with tools promoting healthy eating (passively to actively involved in behavior change). Our analysis further yielded crosscutting themes: the importance of examining issues of self-efficacy, locus of control, and socio-ecological context in the design of health technology. We use our findings to contribute new directions for CSCW research: developing a nuanced perspective on the psychology of change, designing for varying levels of self-efficacy and locus of control, and problematizing the persuasive technology research agenda.

Parents play a critical role in facilitating children's physical activity, as they are an important source of modeling and support. While Human-Computer Interaction (HCI) researchers have explored exergame design for children or adults separately, an important open area of work is identifying design guidelines for family exergames. One question that researchers have increasingly posed is, how can exergames be designed to avoid potential negative consequences of competition? To address these questions we designed Spaceship Launch, an exergame for parents and kids in lower income neighborhoods, where obesity is most prevalent. We describe our iterative design process: the formative study to identify design opportunities, our resulting system, and our field evaluation of the tool. Our findings highlight the impact of SL on physical activity intentions, and how parental preferences for in-game competition were aligned with the psychological needs of relatedness and competence. We conclude with design recommendations for future family-focused exergames.

As kids encounter food advertisements, it is important that they be able to critically evaluate the message's claims, the healthiness of the promoted product and their desire for it. To explore how technology might help kids develop these skills, we created an online forum called TalkBack that encourages children to critically analyze the messaging in food ads and their attitudes towards marketed foods. We evaluated TalkBack with twenty-eight middle school students in a summer camp program. We discuss how participants appeared to project and protect their sense of self through their interaction with TalkBack. We also describe the limited analytic depth of their forum contributions and suggest directions for HCI research that attempts to encourage critical thinking and health promotion in adolescents.