Work is increasingly shifting away from traditional full-time jobs toward more fragmented ways of working, like gig work and part-time jobs. Yet, employment platforms like LinkedIn often privilege those with traditional credentials and work histories, presenting barriers to those who possess little experience translating informal experiences into a format that such tools expect. To address this gap, we propose a narrative-based approach that enables individuals to recognize transferable skills and practice articulating them verbally and in writing via a group discussion setting. Through a participatory design workshop held in a public housing community, we demonstrate how a cultural-probe and persona-inspired activity can elicit self-reflection, enabling individuals to communicate their strengths. While prior HCI research has highlighted the critical need for reflection in the job search process, little work has been done to facilitate this reflection and translation into employment profiles. Our work addresses this call and informs new design directions for employment technologies.

Governance structures for new technologies are frequently top-down, reactive, and informally enforced, leaving marginalized communities with little power to address harms until after they occur. To address these limitations, we introduce Proactive Accountability, a conceptual framework theorizing that effective governance must be community-led, formally enforced, and continually maintained. We explore these principles through a speculative design study with Detroit’s food sovereignty community, in which participants identified community-owned cooperatives—described as “ancestral technologies”—as a model for redistributing power within a capitalist economy. Synthesizing these theoretical and empirical insights, we introduce the Designing for Proactive Accountability (D4PA) framework, providing implications for how designers can operationalize the goals of proactive accountability into HCI research and design projects. Finally, we contribute a future research agenda that positions cooperatives not merely as beneficiaries of design, but as sites of inquiry for understanding how to institutionalize justice-oriented democratic governance of sociotechnical systems.

U.S. public housing is historically a site of racialized and carceral surveillance. Digital surveillance technologies reinforce this containment by mediating carceral visuality, the institutionalized visual and analytic lenses that shape perceptions and governance of public housing spaces and residents. This paper presents a videovoice project with a public housing community, for which residents used smartphones to capture their routines, spatial practices, and imaginaries in relation to surveillance. We analyze how these video artifacts enact alternative ways of seeing and knowing, surfacing overlooked routines, relations, and critiques of surveillance. These videos document what is often invisibilized: the lived consequences of carceral visuality and the situated knowledge of those surveilled. We propose “counter-visual artifacts” to describe the political and disruptive role these videos play in challenging dominant visual regimes and reclaiming the right to see and be seen otherwise. By advocating for counter-visual sensibilities, we invite HCI scholars to rethink how artifacts make room for alternative ways of seeing.

One’s profession is an essential part of modern life. Traditionally, professional development has been criticized for excluding people with disabilities. People with visual impairments, for example, face disproportionately low employment rates, highlighting persistent gaps in professional opportunities. Recently, there has been growing research on social media platforms as spaces for more equitable career development approaches. In this paper, we present an interview study on the professional development experiences of 60 people with visual impairments on TikTok (also known as “BlindTokers”). We report BlindTokers’ goals, strategies, and challenges, supported by detailed examples and in-depth analysis. Based on the findings, we identified that BlindTokers’ practices reveal an alternative professional development approach that is more flexible, inclusive, personalized, and diversified than traditional models. Our study also extends professional development research by foregrounding emerging digital skills and proposing design implications to foster more equitable and inclusive professional opportunities.

Technologies like online support networks and safety apps hold promise for improving personal safety. However, these tools often fail to address the widespread violence against gender-diverse individuals, particularly transgender Black, Indigenous, and People of Color (TBIPOC) in the United States. To better understand technology’s role in managing safety among TBIPOC individuals, we conducted 22 semi-structured interviews. We found that participants engaged in what we call safety labor, the emotional and cognitive work of managing misrecognition, assessing risk, and downplaying discomfort to maintain self-preservation. Visibly-trans participants faced greater vulnerability and tended to feel safer when their trans identity was not visible. Technology enabled sharing locations and rides, and sending coded messages. Findings highlight the need for tailored technologies that protect privacy and help TBIPOC individuals when they experience violence. Our research contributes a deeper understanding of TBIPOC experiences and informs technology development to promote TBIPOCs’ safety.

Technology offers new opportunities to support healthier food choices, particularly for individuals in low-income communities who face systemic barriers to obtaining nutritious, affordable groceries. We introduce a novel conceptual model of grocery planning that frames food purchasing as a multi-objective optimization problem that considers cost, nutrition components, and a consumer’s personal dietary goals. Guided by Zimmerman’s model of Self-Regulated Learning and prior research on food agency, we designed the Food Information System, a planning tool that provides optimized product recommendations aligned with users’ goals by integrating store inventory, prices, and nutritional data. We evaluated our system in an eight-week within-subjects intervention with 55 participants from a food-insecure community, followed by focus group sessions. While overall Healthy Eating Index scores remained largely stable, participants reported improved nutritional awareness and greater perceived agency in planning and purchasing groceries. We discuss design implications to support food agency by promoting long-term food literacy and by enhancing autonomy in making food choices.

Peer Reviewed

Peer Reviewed

Finding employment is extremely challenging for returning citizens – formerly incarcerated individuals – as they face additional barriers due to their criminal records, gaps in employment, and limited experience with digital technology. Using design studio workshops and focus groups, we explored how returning citizens in the United States experience digital job search and how digital platforms and job search tools could be improved. We find that returning citizens are uncertain about when and how to disclose their felony status, and develop unique tactics in response. When faced with concerns about employment discrimination, especially racism, returning citizens maintained a practical outlook. And, participants expressed specific features they sought in technology platforms for job search: clear, simple job descriptions; auto-fill for commonly occurring input fields; and options for human assistance. Throughout, we pay special attention to Black/African American returning citizens, who have historically been discriminated by the criminal justice system in the United States.

This article theorizes and proposes a novel construct, community digital capacity , to measure collective digital capacity at a community level. Community digital capacity is the extent to which the culture, infrastructure, and digital competence of family and community enable and support digital practices. We address a critical gap in individual digital literacy assessments and address limitations with existing theories that do not show digital inequities in the context of underlying systemic and structural challenges posed by one's social position. Building on insights from Computer Supportive Cooperative Work and Social Computing and Human-Computer Interaction for Development communities, we recognize that digital training initiatives must shift toward critical cultural and social practices that encourage full participation in community affairs. Accordingly, we created 28 items covering three domains---individual, social, and infrastructure. We conducted cognitive interviews with a public housing community to refine the items and capture the construct fully. We assessed their factor structure in two Southeastern Michigan cohorts. After dropping eight items based on contribution to Standardized Root Mean Square Residual (SRMR), the public housing residents exhibit a two-factor structure (SRMR=0.09) consisting of nearly independent factors for the individual and social domains, with all items loading positively on their respective domain. We contribute an initial measure for researchers and practitioners to assess community members' access to shared digital resources and support, offering a tool to assess broader social and structural factors contributing to the digital divide.

Digital skills are essential for engaging in employment, healthcare, education, and government services. However, the digital divide remains a social inequality, especially among marginalized populations. Through a community-engaged research approach, we conducted a digital skills learning intervention in a U.S. public housing community, where residents frequently face socioeconomic challenges and limited access to digital resources. Public housing is a community seldom explored in CSCW and HCI research and provides a unique context to study the ongoing digital skills gap. Through the lens of situated learning theory, we study how sociocultural factors impact the efficacy of a community-based computer skills learning intervention. Specifically, we examine how the public housing community organized various resources---online learning materials, instructors, peer social support, and on-the-job learning opportunities---for digital skills development. Notably, the training leveraged instructor critical care and peer support to develop a learning community between residents and leaders of the community NGO that continued beyond the formalized training program. We contribute to CSCW and HCI work on collective and assets-based approaches to enhancing digital capacity. Our work provides implications for building collective grassroots digital skills learning infrastructure that could create new digitally-engaged employment opportunities.

Assets-based approaches emphasize the importance of leveraging and building upon community strengths. We describe how a community-based digital capacity building program, Community Tech Workers (CTW), addresses the goals of assets-based development by hiring local residents and students to serve as tech support personnel for underserved minority small business owners in Detroit. Through interviews and observations, we examine how reciprocal relationships between tech workers and small business owners are critical to the success and sustainability of the program. We find that tech workers and business owners mutually benefit by 1) building confidence in technology together, 2) having business owners provide reciprocal guidance in professional development, and 3) fostering mutual appreciation and commitment to community development. We conclude by introducing the concept of reciprocal capacity building to HCI and discussing how it provides a potentially more equitable approach to community-based interventions.

OBJECTIVES: The aim of this study was to investigate how healthcare staff intermediaries support Federally Qualified Health Center (FQHC) patients' access to telehealth, how their approaches reflect cognitive load theory (CLT) and determine which approaches FQHC patients find helpful and whether their perceptions suggest cognitive load (CL) reduction. MATERIALS AND METHODS: Semistructured interviews with staff (n = 9) and patients (n = 22) at an FQHC in a Midwestern state. First-cycle coding of interview transcripts was performed inductively to identify helping processes and participants' evaluations of them. Next, these inductive codes were mapped onto deductive codes from CLT. RESULTS: Staff intermediaries used 4 approaches to support access to, and usage of, video visits and patient portals for FQHC patients: (1) shielding patients from cognitive overload; (2) drawing from long-term memory; (3) supporting the development of schemas; and (4) reducing the extraneous load of negative emotions. These approaches could contribute to CL reduction and each was viewed as helpful to at least some patients. For patients, there were beneficial impacts on learning, emotions, and perceptions about the self and technology. Intermediation also resulted in successful visits despite challenges. DISCUSSION: Staff intermediaries made telehealth work for FQHC patients, and emotional support was crucial. Without prior training, staff discovered approaches that aligned with CLT and helped patients access technologies. Future healthcare intermediary interventions may benefit from the application of CLT in their design. Staff providing brief explanations about technical problems and solutions might help patients learn about technologies informally over time. CONCLUSION: CLT can help with developing intermediary approaches for facilitating telehealth access.

This paper presents findings from an empirical study that uncovers the economic, psychological, and socio-cultural adaptation strategies used by recent Afghan refugees in a midwestern U.S. state. Through 14 semi-structured interviews conducted between February and April 2023, this study investigates how Afghan refugees utilize technology, tools, and skills in their resettlement process, and builds upon Hsiao et al.'s conceptualization of sociotechnical adaptation. The findings reveal (i) gender and collectivist cultural values play a big role in determining the types of adaptation strategies used by men versus women, (ii) strategic choices in terms of the type of support sought depending on shared versus non-shared identity of host community members, (iii) a notable tension between economic adaptation and preserving socio-cultural values is observed, and (iv) creative, collective solutions by women participants to address economic challenges, contributing to the discourse on solidarity economies in HCI. Key contributions include (a) design implications for technological products that can aid in psychological adaptation, fostering solidarity economies, and creating digital safe spaces for refugees to connect with shared-identity host populations, and (b) policy and program recommendations for refugee resettlement agencies to enhance digital literacy among refugees.

The field of human-computer interaction (HCI) has traditionally focused on the design of novel technology artifacts. However, ensuring considerations for artifact maintenance and repair is crucial to sustainably supporting the populations they aim to serve over the long term. Drawing on two multi-year programs for tech capacity building in post-industrial U.S. cities, this article presents a comparative analysis to investigate the challenges and strategies for sustained community-based research in computing. In particular, our work detailed three considerations for academic-community partnerships. First, long-term partnerships prioritized transferring trust across academic and community personnel and continually set expectations that responded to evolving community initiatives (i.e., relational sustainability). Second, partnerships used academic support as a way to kickstart community initiatives, and flexibly reframed interventions to stay aligned with evolving community goals (i.e., economic sustainability). Third, partnerships trained personnel to provide technical support alongside interventions and prioritized advice that resisted short-term trends (i.e., technical sustainability). We provide concrete examples of how our two academic-community partnerships carried out such suggestions-such details go unreported in scholarly articles yet are essential for sustainability considerations. We discuss ongoing challenges, such as rethinking when longevity should and should not be the end goal.

Economic crises such as the global recession and financial crisis of 2007 and 2008 and the Coronavirus disease (COVID-19) pandemic, have elevated new forms of economic cooperation. Supporting efforts in finding alternatives to capitalism requires understanding the role of design in imagining alternative economic futures and reaching those most harmed by current capitalistic models. Through a collaboration between a community organization in Detroit and a team of university researchers, we hosted and facilitated a five-week workshop series with Black and Brown working-class Detroiters where they collectively imagined alternative economic futures using speculative design. They proposed Community Capitalism, Childcare Collectives, and Village-Based Childcare as alternative economy concepts from the workshops and described their unique characteristics and traits of love, care, and inclusion. Aligning with generative justice frameworks, Detroiters prioritized sustainable families and communities. We contribute an understanding of technology’s role in the imagined economic futures, a discussion of what this means for community-involved governance, and a push for centering Afrofuturism in speculative design approaches to foster futures literacy.

Noticing differently commits to stepping out of familiar reference frameworks while attending to oft-neglected actors, relations, and ways of knowing for design. Photovoice is an arts- and community-based participatory approach allowing individuals to communicate their lives and stories about pressing community concerns through photography. This paper bridges photovoice and the commitment to noticing in HCI and design through a photovoice project with Detroit residents on safety and surveillance. The photovoice process—alongside the production, reflection, and dissemination of photographs—makes residents’ everyday situations legible and sensible, allowing both community members and researchers to orient to and engage with multiple viewpoints, sensibilities, and temporal trajectories. This process confronts the invisibility of both the sociotechnical infrastructures (in our case, surveillance infrastructures) and minoritized communities’ relational ontologies. By advocating participatory noticing in design research, we show the opportunities for adopting arts- and community-based participatory approaches in decentering dominant ways of knowing and seeing, while at the same time fostering community capacity and relations for future potentialities.

To identify technological opportunities to better support nutrition security and equality among those living in low-socioeconomic situations, we conducted 33 semi-structured interviews and seven in-home visits of lower- to middle-income households from a mid-sized city in northern Indiana. Inspired by assets-based approaches to public health, we investigated technology’s role in supporting how participants selected and purchased food, planned meals, and worked through logistical barriers to obtain food. Technology helped participants identify sales and coupons, search for recipes and health-related insights to address diet and health concerns, and share information. We contribute design implications (e.g., amplifying optimization behaviors and social engagement, leveraging substitutions) in support of food agency. We further contribute three emergent archetypes to convey central shopping tendencies (i.e., inventory shoppers, menu planners, and adaptive shoppers) and identify corresponding design implications. We situate our results into nutrition decision-making and education, social psychology, food consumer studies, and HCI literature.

Safety has been used to justify the expansion of today’s large-scale surveillance infrastructures in American cities. Our work offers empirical and theoretical groundings on why and how the safety-surveillance conflation that reproduces harm toward communities of color must be denaturalized. In a photovoice study conducted in collaboration with a Detroit community organization and a university team, we invited 11 Black mid-aged and senior Detroiters to use photography to capture their lived experiences of navigating personal and community safety. Their photographic narratives unveil acts of “everyday noticing” in negotiating and maintaining their intricate and interdependent relations with human, non-human animals, plants, spaces, and material things, through which a multiplicity of meaning and senses of safety are produced and achieved. Everyday noticing, as simultaneously a survival skill and a more-than-human care act, is situated in residents’ lived materialities, while also serving as a site for critiquing the reductive and exclusionary vision embedded in large-scale surveillance infrastructures. By proposing an epistemological shift from surveillance-as-safety to safety-through-noticing, we invite future HCI work to attend to the fluid and relational forms of safety that emerge from local entanglement and sensibilities.

Trust is key to community commerce or peer-to-peer e-commerce where transactions happen within local communities. Trust is especially vital among migrants who move to new countries and need time to develop trust after arrival. To understand migrants' trust development in community commerce and its potential and challenges for supporting their transition to the United States, we conducted 24 semi-structured interviews with migrants who had lived there for three years or less. We highlight practices embedded in difficulties engaging with technologies in a new place. We identify four forms of migrants' trust and show how their offline experiences with local communities reflect their online trust development in community commerce and vice versa, thereby creating unique challenges in their adaptation to new technologies. We coin the term sociotechnical adaptation to frame migrants' distinctive adjustments to social media technologies in a new country. We conclude with implications for creating community commerce platforms that foster migrants' trust and a reflection on how sociotechnical adaptation may vary among diverse migrant populations.

Small businesses are being encouraged to use digital technologies more than ever before. However, the greater emphasis on technology adoption puts underserved minority business owners (those who traditionally have faced barriers in accessing credit, capital and other resources) at greater risk of being left behind. We take an assets-based approach to understand business owners' strengths and challenges in adopting and using digital technologies. We then implement a community-based intervention---Community Tech Workers (CTWs)---to bridge the growing socio-technical gap in the context of small businesses on Detroit's Eastside, which are primarily Black-women-owned businesses. We take a mixed-methods approach, using a combination of a survey, interviews, and observations, to outline how the CTW program 1) helps businesses determine where to start with technology use, 2) offers support grounded in the day-to-day realities of running a business, and 3) builds caring relationships with business owners to foster trust in technology support services. We suggest opportunities for a more collective perspective on assets-based community development and outline considerations for building culturally-conscious ecosystems of support for digital engagement.

Social media offers an alternative source for entrepreneurs to expand their social networks and obtain relevant resources to support their ambitions. Aspiring entrepreneurs with limited access to resources and social networks might rely more on the opportunities that social media tools offer. Aspiring entrepreneurs navigate social media to realize their economic dreams. Yet, those who face financial constraints often face challenges. Because aspiring entrepreneurs are transitioning to entrepreneurship, they must construct and even adapt to new work-role identities and new requisite skills, behaviors, attitudes, and patterns of interactions. In a re-analysis of a sub-sample of data from two empirical studies, this work examines how aspiring entrepreneurs living in a financially-constrained environment seek informational, social, and emotional support online and navigate their transition to entrepreneurship. These entrepreneurs obtained informational and emotional resources from observing other members' posts in online communities, including the next steps needed to adapt to their desired small business work roles. However, few publicly disclosed their informational or emotional needs online. We extend existing research on financially-constrained entrepreneurs' use of social media, contributing insights into how these resource-seeking practices limit their exploration of alternative entrepreneurial identities and feedback. We also contribute design implications to facilitate their online disclosure practices, including offering suggestions about ways to respond to questions and other disclosures in ways that restore trust and mitigate identity threats.

Mentorship and other social and relational support have been vital to poverty alleviation and transformative change. It is crucial to understand the underlying factors in the success of mentoring models and subsequent programs to support them. Thus, we conducted a mixed-methods study consisting of longitudinal surveys of community participants followed by semi-structured interviews with 28 community members, eight mentors, and two coaches participating in a community-based mentorship program. Drawing from community-based participatory research in partnership with a non-profit located in a Midwestern United States (U.S.) city, we unpack how the program supported self-sufficiency and economic mobility among adults experiencing financial hardships. Through an infrastructural lens, we attend to individuals’ infrastructuring work in social support, flexibility, and trust to support a “village” model of community-based mentorship. Our results show how the village model differs from traditional mentorship models that assume dyadic, one-to-one, often didactic, and hierarchical relationships (e.g., expert and protégé, adult and child) and are used primarily in the workplace and educational settings. The village mentorship model advocates for less hierarchical and more balanced relationships in non-institutional settings and flexible communication and technological needs. We discuss new research opportunities and design strategies for rethinking technology-mediated mentorship to support poverty-stricken adults in the U.S.

Millions of Americans forego medical care due to a lack of non-emergency transportation, particularly minorities, older adults, and those who have disabilities or chronic conditions. Our study investigates the potential for using timebanks—community-based voluntary services that encourage exchanges of services for “time dollars” rather than money—in interventions to address healthcare transportation barriers to seed design implications for a future affordable ridesharing platform. In partnership with a timebank and a federally qualified healthcare center (FQHC), 30 participants completed activity packets and 29 of them attended online workshop sessions. Our findings suggest that promoting trust between drivers and riders requires systems that prioritize safety and reliability; yet, there were discrepancies in the ability of the timebank and FQHC to moderate trust. We also found that timebank supports reciprocity, but healthcare transportation requires additional support to ensure balanced reciprocity. We explain these findings drawing from network closure and trust literature. Finally, we contribute design implications for systems that promote trust and facilitate relational over transactional interactions, which help to promote reciprocity and reflect participants’ values.

During the COVID-19 global health crisis, institutions, policymakers, and academics alike have called for practicing resilience to overcome its ongoing disruptions. This paper contributes a comparative study of the job search experiences of working-class and upper-middle-class job seekers, particularly in relation to their resilience practices during the pandemic. Drawing from in-depth interviews with 12 working-class and 11 upper-middle-class job seekers in the U.S., we unpack challenges resulting from both the pandemic and unemployment and job seekers' novel practices of navigating these challenges in their everyday disrupted life. Job seekers' ongoing negotiation with their resources, situations, and surroundings gives practical meanings to building everyday resilience, which we theorize as an ongoing process of becoming resilient. While job seekers across classes experienced similar challenges, working-class job seekers took on additional emotional labor in their everyday resilience due to their limited experience in the digital job search space, competition with higher-degree holding job seekers applying for the same jobs, limited social support networks, and at times, isolation. By foregrounding the uneven distribution of emotional labor in realizing the promise of resilience along class lines, this work cautions against the romanticization of resilience and calls for a more critical and nuanced understanding of resilience in CSCW.

This article contributes results of a longitudinal field study of SkillsIdentifier, an employment tool originally designed and assessed in the United States (U.S.), to support “underrepresented” job seekers in identifying and articulating their employment skills. To understand whether the tool could support the needs of job seekers outside the U.S., we assessed it among 16 job seekers with limited education and language resources in Switzerland. While many of our results mirrored those of the U.S., we found that the tool was especially beneficial for non-French speaking immigrants who needed support describing their skills outside of their native language. We also found that listing skills like “active listening” without important context was insufficient and risked hiding key skills and meaning behind those skills to employers. Taking these factors into account, we illustrate the design implications of our findings and directions for practitioners who wish to design employment tools in support of job seekers, especially those who have traditionally been excluded from the labor market. We then provide insight into the potential for unintended consequences as a result of focusing solely on skills in a post-COVID labor market and contribute ways to mitigate them.

Digital educational technologies have been employed in classrooms to collect students’ behavioral data in the hope of supporting teachers in identifying and correcting undesirable behaviors, which raises the concern of heightened surveillance in classrooms. We present a qualitative study of 20 K-8 teachers to understand their experiences and practices of using ClassDojo, a data-driven classroom behavior management intervention. Our analysis reveals a series of unintended socio-technical effects resulting from the use of ClassDojo in practice. In particular, the use of ClassDojo runs the risk of measuring, codifying, and simplifying the nuanced psycho-social factors that may drive children’s behavior and performance, thereby serving as a “Band-Aid” for deeper issues. We discuss how this process could perpetuate existing inequality and bias in education. With the goals of spurring future design and mitigating these unintended effects, we take on the reflexive-interventionist approach and propose three considerations for designing and using future educational technologies: 1) provide context, 2) expose bias, and 3) challenge and reimagine what is normal.

Online employment resources are now as important as offline personal and professional networks, which have been pivotal in finding employment. However, it is unclear, which specific online resources are key to employment and how job seekers take advantage of them. Therefore, in an online survey of 768 job seekers, we investigated which online platforms, specific job search phases, behaviors, and job search strategies job seekers used in their job search, and which of these were associated with positive outcomes. We examined whether these results correlated with demographic factors and found differences in online platform use among income, gender, years of education, and race. Our results suggest that higher-income job seekers were more likely to use different strategies and more likely to get callbacks than lower-income job seekers. We raise new questions around demographics and technology and discuss the need for practitioners to design for a wider variety of job seekers.

The question of who gets to contribute to design futures and technology innovation has become a topic of conversation across HCI, CSCW, and other computing communities. This conversation has grave implications for communities that often find themselves an afterthought in technology design, and who coincidentally could benefit most from technological interventions in response to societal oppression. To explore this topic, we examined “futuring” through co-designed speculative design fictions as methods to envision utopian and dystopian futures. In a case study, we examined technology’s role in the imagined futures of youth participants of a Chicago summer design program. We highlight emerging themes and contribute an analysis of remote co-design through an Afrofuturism lens. Our analysis shows that concepts of utopian futures and technologies to support those futures are still heavily laden with dystopian realities of racism and poverty. We discuss ways that speculative design fictions and futuring can serve to address inclusivity in concept generation for new technologies, and we provide recommendations for conducting design techniques remotely with historically excluded populations.

Social media has become an effective recruitment tool for higher-waged and white-collar professionals. Yet, past studies have questioned its effectiveness for the recruitment of lower-waged workers. It is also unclear whether or how employers leverage social media in their recruitment of low-wage job seekers, and how social media could better support the needs of both stakeholders. Therefore, we conducted 15 semi-structured interviews with employers of low-wage workers in the U.S. We found that employers: use social media, primarily Facebook, to access large pools of active low-wage job seekers; and recognize indirect signals about low-wage job seekers’ commitment and job readiness. Our work suggests that there remains a visible, yet unaddressed power imbalance between low-wage workers and employers in the use of social media, which risks further destabilizing the precarious labor market.

The rise of ridesharing platforms has transformed traditional transportation, making it more accessible for getting to work and accessing grocery stores and healthcare providers, which are essential to physical and mental well-being. However, such technologies are not available everywhere. Additionally, there is a scarcity of HCI work that investigates how vulnerable populations such as rural-dwelling people with HIV face and overcome transportation barriers. To extend past research, we conducted 31 surveys and 18 interviews with people living with HIV (22 surveys, 14 interviews) and their case coordinators (9 surveys, 4 interviews) in rural areas. Contrary to past research, we found that the use of alternative vehicles, extensive support networks, and nonprofit health organizations facilitated transportation. However, distance, the lack of trust and infrastructure, stigma, and other cultural underpinnings made popular forms of urban transportation unappealing. We contextualize our findings with prior research and contribute implications for future research and design.

Abstract Technology integration in the workplace context has led to substantial growth in high- versus low-skilled jobs, and thus, further disparities between workers and those who were already unemployed. Technology use is also being used more frequently in the job search process, which could further lead to disparities, especially for job seekers experiencing marginalization. Thus, we conducted a controlled longitudinal field deployment of two employment-based tools—RevueCV and InterviewApp—among 46 Switzerland-based unemployed job seekers. Using the theory of planned behavior (TPB), we sought to understand how the tools affected job search self-efficacy, subjective norms and job search attitudes—the three factors that influence a job seekers’ job search intention. Although participants appreciated the support the two tools provided, and the inherent study benefits, our interview and survey results showed no substantial changes in their TPB values, primarily because the tools provided overlapping services with the local job placement offices. However, results of our interviews found autonomy, or the lack thereof, to be a key factor contributing to job seeker dissatisfaction. We introduce the concept of self-regulation to the TPB as an explanatory construct and contribute design and theoretical implications to support autonomy among job seekers with less control of their job search.

Rapid changes in technology are expected to limit the availability of decent work for millions of people worldwide. This particularly disadvantages socially and economically marginalized job seekers who are already being pushed into lower-wage precarious work with increasing levels of job insecurity. While the number of employment support tools that match job seekers to employers has been growing, marginalized job seekers still significantly rely on physical employment centers that have a track record of supporting the specific needs associated with marginalization and economic constraints. We drew from prior HCI and CSCW literature uncovering the employment and technology-related challenges that marginalized job seekers face and from the Psychology of Working Theory to frame our research questions and results. To complement this prior work, we investigated how employment center staff work with marginalized job seekers and moderate factors to securing decent work. We found in an interview of 21 employment center staff--career advisors and business services coordinators--that they performed significant work to prepare and encourage marginalized job seekers in applying to positions, while also training employers to be more inclusive and open-minded. Career advisors worked directly with job seekers to connect them with external resources, provide encouragement, strategize long-term goals, and mitigate feelings of stigma. Business services coordinators worked directly with employers to prepare job positions and employee support programs. Drawing from the expertise of employment centers, we contribute a framework for designing employment support tools that better serve the needs of marginalized job seekers, and outline tangible design implications that complement the support these organizations provide.

Social media platforms provide access to informational and emotional resources that can enable low-income populations to further their socioeconomic mobility and cope with unexpected life demands. However, lack of both interpersonal trust and a sense of shared identity often prevent low-income individuals from eliciting resources from the diverse networks embedded in these platforms. Building on past research, we investigated factors that facilitated and deterred low-income members of the community-based non-profit organization Family Independence Initiative (FII) from seeking informational and emotional support from other members on the organization's social media platform, UpTogether. We found that despite participants' perceived shared identity, members primarily requested resources from other UpTogether members through offline interactions due to lack of interpersonal trust. We extend existing research on the limitations of shared identity and the role of interpersonal trust and social norms in facilitating resource-seeking interactions among strangers in low-income contexts. We suggest that social media platforms incorporate pseudonymous posting to facilitate relationship development and allow users to disclose their needs without revealing identifying information.

Today, teachers have been increasingly relying on data-driven technologies to track and monitor student behavior data for classroom management. Drawing insights from interviews with 20 K--8 teachers, in this paper we unpack how teachers enacted both care and control through their data work in collecting, interpreting, and using student behavior data. In this process, teachers found themselves subject to surveilling gazes from parents, school administrators, and students. As a result, teachers had to manipulate the student behavior data to navigate the balance between presenting a professional image to surveillants and enacting care/control that they deemed appropriate. In this paper we locate two nuanced forms of teachers' data work that have been under-studied in CSCW: (1) data work as recontextualizing meanings and (2) data work as resisting surveillance. We discuss teachers' struggle over (in)visibility and their negotiation of autonomy and subjectivity in these two forms of data work. We highlight the importance of foregrounding and making space for informal data workers' (in our case, teachers') resistance and negotiation of autonomy in light of datafication.

Technologies play a key role in finding employment in today's job market. However, the majority of those who are unemployed, e.g., individuals who have limited education or who are racial and ethnic minorities, are not well supported by existing digital employment tools. Therefore, we conducted an 8-month randomized field experiment to evaluate two tools-Review-Me and Interview4-designed to address these job seekers' key employment needs. We used the Theory of Planned Behavior to examine the tools' effects on three factors influencing job seekers' job search intention: job search self-efficacy, subjective norms, and job search attitudes. Our interview data suggested that the tools positively affected all factors, but our survey results were mixed. Interview results suggest that these trends were caused by positive feedback and self-reflection. We contribute ways to integrate these two features into future tools for, and techniques to increase study retention among, underrepresented job seekers.

With the rise of social media, entrepreneurs are feeling the pressure to adopt digital tools for their work. However, the upfront effort and resources needed to participate on these platforms is ever more complex, particularly in underresourced contexts. Through participatory action research over two years in Detroit's Eastside, we found that local entrepreneurs preferred to become engaged digitally through a community collective, which involved (a) resource-connecting organizations, (b) regular in-person meetings, (c) paper planning tools, and (d) practice and validation. Together, these elements combined to provide (1) awareness and willingness to use digital tools, (2) regular opportunities to build internet self-efficacy, and (3) ways to collectively overcome digital obstacles. We discuss our findings in the context of digital engagement and entrepreneurship, and outline recommendations for digital platforms seeking to better support economic mobility more broadly.

Technology allows us to scale the number of jobs we search for and apply to, train for work, and earn money online. However, these technologies do not benefit all job seekers equally and must be designed to better support the needs of underserved job seekers. Research suggests that underserved job seekers prefer employment technologies that can support them in articulating their skills and experiences and in identifying pathways to achieve their career goals. Therefore, we present the design, implementation, and evaluation of DreamGigs, a tool that identifies the skills job seekers need to reach their dream jobs and presents volunteer and employment opportunities for them to acquire those skills. Our evaluation results show that DreamGigs aids in the process of personal empowerment. We contribute design implications for mitigating aspects of powerlessness that low-resource job seekers experience and discuss ways to promote action-taking in these job seekers.

Online grocery delivery services present new opportunities to address food disparities, especially in underserved areas. However, such services have not been systematically evaluated. This study evaluates such services' potential to provide healthy-food access and influence healthy-food purchases among individuals living in transportation-scarce and low-resource areas. We conducted a pilot experiment with 20 participants consisting of a randomly assigned group's 1-month use of an online grocery delivery service, and a control group's 1-month collection of grocery receipts, and a set of semi-structured interviews. We found that online grocery delivery services (a) serve as a feasible model to healthy-food access if they are affordable and amenable to multiple payment forms and (b) could lead to healthier selections. We contribute policy recommendations to bolster affordability of healthy-food access and design opportunities to promote healthy foods to support the adoption and use of these services among low-resource and transportation-scarce groups.

Returning citizens (formerly incarcerated individuals) face great challenges finding employment, and these are exacerbated by the need for digital literacy in modern job search. Through 23 semi-structured interviews and a pilot digital literacy course with returning citizens in the Greater Detroit area, we explore tactics and needs with respect to job search and digital technology. Returning citizens exhibit great diversity, but overall, we find our participants to have striking gaps in digital literacy upon release, even as they are quickly introduced to smartphones by friends and family. They tend to have employable skills and ability to use offline social networks to find opportunities, but have little understanding of formal job search processes, online or offline. They mostly mirror mainstream use of mobile technology, but they have various reasons to avoid social media. These and other findings lead to recommendations for digital literacy programs for returning citizens.

Workers are increasingly expected to take on the responsibility and effort of preparing for employment in the new economy, where digital technologies play a central role in bridging access to resources, connections, and opportunity. Drawing from multi-year studies of entrepreneurs in Accra and Detroit, two cities that continue to experience high rates of inequality and persistently low incomes for the majority of their residents, this article highlights three key challenges to self-entrepreneurialization in the digital age: self-upgrading, maintaining technology, and overcoming exclusion. Locating these challenges at the intersection of (1) two powerful global discourses of entrepreneurialism and technology upgrade and (2) class frictions and racial dynamics, this paper uncovers ways in which CSCW might support entrepreneurialism in the new economy, particularly given that it is becoming a de facto space of work and mode of living.

About 20% of the U.S. unemployed population has been out of the labor force for more than 6 months. The rise of the gig economy has changed the landscape of nontraditional employment opportunities for these predominantly low-skilled long-term unemployed workers. This particular type of on-demand work can be used to fill unemployment gaps and offers little to no training costs and flexible hours. Therefore, we explore whether driving as a form of gig work helps to mitigate the negative effects of long-term unemployment for low-skilled job seekers with employment gaps, and how employers evaluate workers who have held non-traditional jobs. Using a correspondence audit study with 1006 job applications, we evaluated whether a set of resumes "enhanced" with experience driving for a real-time ridesharing service received more callbacks than baseline resumes with an employment gap. We found no evidence that driving as a form of gig work increased the callback rates of applicants. In fact, we observed that in comparison to men, the callback rates for women slightly declined. Our study suggests that driving 'gigs' might not be a substitute for traditional employment on resumes for low-skilled workers. We contribute a call to CSCW to investigate methods that help to understand why real-time ridesharing services do not substitute for traditional jobs in bridging employment gaps and solutions on how to overcome it. Finally, we reflect on our use of audit studies in the new digital era and present potential CSCW and HCI contributions using this method.

Modern Information and Communication Technologies (ICTs) support job searches, resume creation, career development, and professional self-presentation. However, these technological tools are often tailored to high-income, highly educated users and white-collar professionals. It is unclear what interventions address the needs of job seekers who have limited resources or education, or who may be underserved in other ways. We gathered insights from the literature and generated ten tangible design concepts to address the needs of underserved job seekers. We then conducted a needs validation and speed dating study to understand which concepts were most viable among our population. We found that the three most preferred concepts immediately addressed job seekers' social and personal needs, where addressing social needs meant mediating job seekers' connections to others and supporting our job seekers' limited access to strong ties.

Online technologies are increasingly hailed as enablers of entrepreneurship and income generation. Recent evidence suggests, however, that even the best such tools disproportionately favor those with pre-existing entrepreneurial advantages. Despite intentions, the technology on its own seems far from addressing socio-economic inequalities. Using participatory action research, we investigated why this might be, in an intimate, close-up context. Over a 1-year period, we--a collaborative team of university researchers and residents of Detroit's East Side--worked to establish a neighborhood tour whose initial goal was to raise supplementary income and fundraise for community block clubs. We found that in addition to technical requirements, such as communication tools, a range of non-technological efforts is needed to manage projects, build self-efficacy, and otherwise support community participants. Our findings widen Ackerman's "socio-technical gap" for some contexts and offer a counterpoint to overgeneralized claims about well-designed technologies being able to address certain classes of social challenges.

Today's transportation systems and technologies have the potential to transform the ways individuals acquire resources from their social networks and environments. However, it is unclear what types of resources can be acquired and how technology could support these efforts. We address this gap by investigating these questions in the domain of real-time ridesharing systems. We present insights from two qualitative studies: (1) a set of semi-structured interviews with 13 Uber drivers and (2) a set of semi-structured interviews with 13 Uber riders. Our results show that both drivers and riders acquired and benefited from informational, emotional and instrumental resources, as well as cultural exchanges via interactions with each other and with online platforms. We argue that these interactions could support the development of social and cultural capital. We discuss our findings in the context of labor and contribute design implications for in-car social and cultural experiences and for the ways technologies such as GPS and location-based services can support the additional emotional, social, and cultural labor that drivers provide to their riders.

The Internet is providing increasing access to information about employment opportunities, but not everyone can leverage it effectively. Research suggests that job seekers with limited access to Internet technologies are being left behind, while those with limited social resources are expected to rely on the Internet even more. In this work, we conducted in-depth semi-structured interviews with 11 low-resourced job seekers in a metropolitan area in the Midwestern USA to understand how social and digital resources support their efforts to find work. We find that online resources support job seekers in finding relevant jobs via search, but do not help them identify opportunities to improve their job search process or increase their chances of securing employment. We recommend that systems aiming to support low-resourced job seekers design for deeper engagement with their users across the job search process, to help users recognize ways to improve on their existing practices.

The digital sharing economy has introduced opportunities for economic growth, productivity, and technological innovation. However, the adoption of sharing economy applications may be inaccessible to certain demographics, including older adults, low-income adults, and individuals who are not college educated. This research investigates how the demographic factors: trust, computer self-efficacy, and perceived ease of use, impact participation in the sharing economy. Drawing on survey data with 508 participants, we found that trust in institutions, computer self-efficacy, and perceived ease of use positively correlate to individuals' past use of and willingness to pay for future sharing economy services, but age is negatively correlated. Surprisingly, we do not find that sharing economy users are more likely to have higher trust in strangers, higher incomes, or more education. We compare our findings to existing research, discuss why institutional trust might negate other concerns about sharing economy use, and explore opportunities to support broader participation in the sharing economy.

The key to successful adaptation for immigrants in a new country is their social capital, or those resources embedded in their social networks. Research suggests that information and communication technologies (ICTs) foster immigrants' social capital and facilitate their adaptation. However, it is unclear how recent immigrants use ICTs to develop social capital and how this supports their adaptation needs. We performed semi-structured interviews with thirteen recent immigrants and five long-term immigrants. We found that ICTs and technology-mediated connections: (1) easily addressed immigrants' settlement needs, (2) minimally addressed their financial and cultural needs, and (3) were not used to address their emotional needs. To support recent immigrants' adaptation, we suggest ways for ICTs to (1) reduce uncertainty about meeting local-born populations, (2) foster reciprocity among immigrant communities, and (3) facilitate safe resource exchanges.

Entrepreneurship has long been used to create self-employment opportunities to guard against career uncertainty. Yet, little is known about how social technologies impact the day-to-day work of entrepreneurs in resource-constrained contexts. We performed a qualitative study involving interviews with 26 micro-entrepreneurs in Detroit and observations of entrepreneurship events. We found that micro-entrepreneurs in Detroit are often pushed into entrepreneurship in response to unexpected life disruptions, barriers to employment, and desire to benefit the community. Their resource-constrained contexts shape how they use social technologies, such as sharing economy tools and social media groups, particularly with respect to privacy, safety, and professional agency. We expand the discussion in CSCW around what it means to be an entrepreneur and provide implications for how social technologies can be designed to better meet the employment needs of people in resource-constrained communities.

Advances in Information and Communication Technologies (ICTs) offer new opportunities for addressing transportation needs; however, past research suggests that opportunities are not equally shared by millions of low-income Americans. We draw from four empirical studies and two case studies to contribute descriptions of the 11 everyday transportation models currently used by residents of low-income and underserved communities to enhance their access to health-enhancing resources. These models fell into personal, private, public, and interpersonal categories. We contribute insights regarding the following barriers and facilitators associated with these models: (1) affordability; (2) individual capabilities; (3) interpersonal trust, care and/or reciprocity; (4) trust in technology; (5) service availability/eligibility; (6) spatial and temporal matches; (7) match between transportation mode and physical needs; (8) service reliability and quality; and (9) infrastructure access. To address these barriers and build on these facilitators, we contribute six supportive policy and design principles. Operationalizing these principles, we propose four new ICT-enhanced models: (1) smart jitneys; (2) generalized, favor-based models; (3) expanded resource pooling; and (4) transportation clubs. The focus of these models on socio-technical integration with current capabilities and resources holds promise for enhancing access to jobs, food, and health care for residents of low-income communities.

Real-time ridesharing services (e.g., Uber and Lyft) are often touted as sharing-economy leaders and dramatically lower the cost of transportation. However, how to make these services work better among low-income and transportation-scarce households, how these individuals experience these services, and whether they encounter barriers in enlisting these services is unknown. To address these questions, we onboarded 13 low-income individuals living in transportation-scarce environments to Uber as passengers. Our participants found these services to be reliable and benefited from rich social interactions with drivers; however, barriers such as cost, limited payment methods, and low digital literacy can make such services infeasible. We contribute platform designs that could lead to increased digital literacy and application transparency. To be more inclusive and to reach critical mass, we suggest that these companies foster belief in commons and community trust by coordinating with local businesses in low-resource areas with lower digital literacy.

People-nearby applications (PNAs), such as Tinder and Badoo, help millions of users to make new social connections everyday. However, little is known about how PNAs support offline interactions or what application features are associated with offline encounters. Research suggests that these applications support the development of social capital, but the forms of social capital are unclear. We conducted interviews with 14 active PNA users to address these questions. Our results suggest that while existing PNA features such as filters, profile photos, and chat support online connections, most participants used non-PNA platforms to build mutual trust before meeting offline. In addition, PNA users developed two forms of social (informal and formal) and cultural capital (incorporated and symbolic). We offer insights into how PNAs and non-PNAs intersect to foster feelings of safety and trust prior to offline meetings, and we propose ways for PNAs to support the exchange of cultural and social capital.

The sharing economy has quickly become a very prominent subject of research in the broader computing literature and the in human--computer interaction (HCI) literature more specifically. When other computing research areas have experienced similarly rapid growth (e.g. human computation, eco-feedback technology), early stage literature reviews have proved useful and influential by identifying trends and gaps in the literature of interest and by providing key directions for short- and long-term future work. In this paper, we seek to provide the same benefits with respect to computing research on the sharing economy. Specifically, following the suggested approach of prior computing literature reviews, we conducted a systematic review of sharing economy articles published in the Association for Computing Machinery Digital Library to investigate the state of sharing economy research in computing. We performed this review with two simultaneous foci: a broad focus toward the computing literature more generally and a narrow focus specifically on HCI literature. We collected a total of 112 sharing economy articles published between 2008 and 2017 and through our analysis of these papers, we make two core contributions: (1) an understanding of the computing community's contributions to our knowledge about the sharing economy, and specifically the role of the HCI community in these contributions (i.e. what has been done ) and (2) a discussion of under-explored and unexplored aspects of the sharing economy that can serve as a partial research agenda moving forward (i.e. what is next to do ).

People experiencing financial hardship often possess resilient and resourceful behaviors when handling their day-to-day activities. Understanding how these individuals manifest resilience during adversity could provide insights into how technologies can support their existing efforts. In a partnership with an Australian community care center, we identified resilient practices of people with low socioeconomic status. Following a strength-based approach, we collected data via home visits and semi-structured interviews involving 14 participants, and observed activities at the care center over 8 months. Our participants exhibited three key facets of resilience: (1) resilience as an integral part of their everyday lives, (2) a spirited phenomenon, and (3) a social and care-focused process. We contribute empirical insights into our participants' situated resilience and articulate ways through which design can support their existing social and collaborative practices. We compare and contrast our findings within and outside CSCW literature and advocate for a strength-based approach.

The Internet plays a pervasive role in job search and employment, especially for professionals and for those who are highly qualified. While job seekers from all occupational groups and employment status rely on aspects of the Internet for employment, past research suggests that disadvantaged job seekers are being "left behind" and will continue to be left behind as the Internet takes on a more eminent role in the employment process. To mitigate this outcome, we extended prior literature and took a user-centered design approach to design and implement a web-based employment application that provides job seekers with resume feedback from local volunteers. We piloted our application to understand: 1) the context and circumstances of our application's shortcomings and 2) UX principles that address these shortcomings. We extend employment research that aims to alleviate the negative effects of technological advancement on disadvantaged job seekers.

Past research suggests that many individuals take Massive Open Online Courses (MOOCs) for employment-related reasons. It is unclear, however, how learners leverage MOOCs for employment and how effectively these platforms support employability. To explore this further, we surveyed 441 learners and interviewed 22 learners motivated to take MOOCs for reasons related to financial limitations and/or reasons related to employment. Using the three dimensions of employability as a framework-human and social capital, career identity, and personal adaptability-we find that while most of our participants were optimistic about the potential for MOOCs to improve their employability, there was very limited tangible evidence of employment mobility from taking MOOCs. Though MOOCs support human capital, there are opportunities to further support social capital, career identity, and personal adaptability. We contribute a deeper understanding of learners who use MOOCs for employment and provide concrete design implications for MOOC platforms to better support employability in the future. We found very few low SES learners using MOOCs for reasons of employment and identify opportunities for MOOCs to reach and support these learners.

The digital-sharing economy presents opportunities for individuals to find temporary employment, generate extra income, increase reciprocity, enhance social interaction, and access resources not otherwise attainable. Although the sharing economy is profitable, little is known about its use among the unemployed or those struggling financially. This paper describes the results of a participatory-design based workshop to investigate the perception and feasibility of finding temporary employment and sharing spare resources using sharing-economy applications. Specifically, this study included 20 individuals seeking employment in a U.S. city suffering economic decline. We identify success factors of the digital-sharing economy to these populations, identify shortcomings and propose mitigation strategies based on prior research related to trust, social capital and theories of collective efficacy. Finally, we contribute new principles that may foster collaborative consumption within this population and identify new concepts for practical employment applications among these populations.

This article focuses on "fundi wa simu," (mobile phone repairers) in rural Kenya and their ideas about mobile phone design. Our study design and analysis were guided by ideas from postcolonial computing; we use our qualitative findings, and outcomes from a drawing exercise, to show existing flaws in mobile phone design, and to explore how repairers' knowledge can lead to handsets that are better suited for rural Kenyans. Our argument is that, by engaging with repairers "[on] their own terms," technologists can expand conversations around designing for the 'developing' world that go beyond building novel smartphone applications. In fact, such conversations can also include reimagining mobile phones, and supporting local repairers' efforts to manufacture them. We conclude by discussing ways to improve upon postcolonial approaches to technology design.

This work investigates whether enrolling in a Massive Open Online Course (MOOC) with friends or colleagues can improve a learner's performance and social interaction during the course. Our results suggest that signing up for a MOOC with peers correlates positively with the rate of course completion, level of achievement, and discussion forum usage. Further analysis seems to suggest that a learner's interaction with their friends compliments a MOOC by acting as a form of self-blended learning.

Past Information and Communication Technology (ICT) literature suggests that engaging in meaningful activities with ICTs may be related to socio-economic security, social inclusion, empowerment, and increased social capital. However, we identify a pervasive lack of understanding in existing literature, which raises an important research question: how can we build social capital where little social capital exists? We conducted a preliminary study to explore whether and if so, how, individuals in an economically distressed population with limited social capital use technologies to increase social capital and achieve socio-economic security. We contribute details about barriers affecting social capital (e.g., difficulties finding and making the right connections and an overall lack of trust within communities). We also suggest ways in which ICTs can assist populations that could benefit most from increased social capital and economic security.

An increasing number of researchers are using social engagement techniques such as neighborhood comparison and competition to encourage energy conservation, yet community reception and experience with such systems have not been well studied. We also find that researchers have not thoroughly investigated how different households use these systems and how their uses differ from one another. We explore these questions in a 4-10 month field deployment of a social-energy monitoring application across 15 households, in two distinct locations. We contribute results that describe conditions under which these techniques were effective and ineffective. Our results imply that understanding factors such as a building, or community's layout, context knowledge of community members, accountability and adherence to social norms, trust, and length of residence are key for future design of social-energy applications.

Massive Open Online Courses (MOOCs) are seen as an opportunity for individuals to gain access to education, develop new skills to prepare for high-paying jobs, and achieve upward mobility without incurring the increasingly high debt that comes with a university degree. Despite this perception, few studies have examined whether populations with the most to gain do leverage these resources. We analyzed student demographic information from course surveys and performance data of MOOC participation in a single course. We targeted students who stated that they were motivated to take the course because they "cannot afford to pursue a formal education," and compared them to the group of all other students. Our three key findings are that 1) a higher percentage of non-traditional enrolled students are in this population than the comparison population, 2) in an independent t-test, a statistically significant portion (28%) of this group has less than a 4-year college degree versus 15% of the comparison group, and 3) the completion rate between both groups are relatively equal.

Rapid depletion of fossil fuels and water resources has become an international problem. Urban residential households are among the primary consumers of resources and are deeply affected by resource shortages. Despite the global nature of these problems, most of the solutions being developed to address these issues are based on studies done in the developed world. We present a study of energy, water and fuel conservation practices in urban India. Our study highlights a culture of deep conservation and the results raise questions about the viability of typical solutions such as home energy monitors. We identify new opportunities for design such as point-of-use feedback technologies, modular solutions, distributed energy storage, harnessing by-products and automated load shifting.

Prior research results show that comparison as a feedback technique can encourage additional savings; however, a limited number of home-energy studies explore social communication around feedback devices. We will develop a system that supports comparison and cross-household communication, and provides energy-use information. We will then deploy our system across 50 mixed-income renters. Our expected contributions include an interactive system for supporting comparison and collaboration; a better understanding of the conditions that motivate or discourage energy conservative behaviors for individuals that pay and do not pay for their electricity; and design recommendations for visualizations that allow comparison and collaboration across households.

Energy use in the home is a topic of increasing interest and concern, and one on which technology can have a significant impact. However, existing work typically focuses on moderately affluent homeowners who have relative autonomy with respect to their home, or does not address socio-economic status, class, and other related issues. For the 30% of the U.S. population who rent their homes, many key decisions regarding energy use must be negotiated with a landlord. Because energy use impacts the bottom line of both landlords and tenants, this can be a source of conflict in the landlord/tenant relationship. Ubicomp technologies for reducing energy use in rental units must engage with landlord/tenant conflicts to be successful. Unfortunately, little detailed knowledge is available about the impact of landlord/tenant conflicts on energy use. We present an analysis of a series of qualitative studies with landlords and tenants. We argue that a consideration of multiple stakeholders, and the power imbalances among them, will drive important new research questions and lead to more widely applicable solutions. The main contribution of our work is a set of open research questions and design recommendations for technologies that may affect and be affected by the conflict between stakeholders around energy use.

The greatest contributor of CO2 emissions in the average American household is personal transportation. Because transportation is inherently a mobile activity, mobile devices are well suited to sense and provide feedback about these activities. In this paper, we explore the use of personal ambient displays on mobile phones to give users feedback about sensed and self-reported transportation behaviors. We first present results from a set of formative studies exploring our respondents' existing transportation routines, willingness to engage in and maintain green transportation behavior, and reactions to early mobile phone "green" application design concepts. We then describe the results of a 3-week field study (N=13) of the UbiGreen Transportation Display prototype, a mobile phone application that semi-automatically senses and reveals information about transportation behavior. Our contributions include a working system for semi-automatically tracking transit activity, a visual design capable of engaging users in the goal of increasing green transportation, and the results of our studies, which have implications for the design of future green applications.

Personal energy consumption, specifically home energy consumption such as heating, cooling, and electricity, has been an important environmental and economic topic for decades. Despite the attention paid to this area, few researchers have specifically explored these issues within a community that makes up approximately 30% of U.S. households -- those below the federal poverty line. We present a study of 26 low-income households in two very different locations -- a small town in the Southern U.S. and a northerly metropolitan area. Through a photo-elicitation study and directed interviews, we explore the relationship between energy saving behaviors, external factors, and users' intrinsic values and beliefs. Most of our participants are committed to saving energy for non-financial reasons, even when not responsible for paying bills. Challenges to saving energy include safety and lack of control over the environment. We discuss how Ubicomp technologies for saving energy can address some of these challenges.