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- research-articleJune 2024Best Paper
Public Technologies Transforming Work of the Public and the Public Sector
- Seyun Kim,
- Bonnie Fan,
- Willa Yunqi Yang,
- Jessie Ramey,
- Sarah E Fox,
- Haiyi Zhu,
- John Zimmerman,
- Motahhare Eslami
CHIWORK '24: Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for WorkJune 2024, Article No.: 20, Pages 1–12https://doi.org/10.1145/3663384.3663407Technologies adopted by the public sector have transformed the work practices of employees in public agencies by creating different means of communication and decision-making. Although much of the recent research in the future of work domain has ...
- research-articleJune 2024JUST ACCEPTED
Carefully Unmaking the “Marginalized User:” A Diffractive Analysis of a Gay Online Community
ACM Transactions on Computer-Human Interaction (TOCHI), Just Accepted https://doi.org/10.1145/3673229HCI scholars are increasingly engaging in research about “marginalized groups,” such as LGBTQ+ people. While normative habitual readings of marginalized people in HCI often highlight real problems, this work has been criticized for flattening ...
- research-articleJune 2024
AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services
- Ningjing Tang,
- Jiayin Zhi,
- Tzu-Sheng Kuo,
- Calla Kainaroi,
- Jeremy J. Northup,
- Kenneth Holstein,
- Haiyi Zhu,
- Hoda Heidari,
- Hong Shen
FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and TransparencyJune 2024, Pages 713–732https://doi.org/10.1145/3630106.3658935AI-based decision support tools have been used in a wide range of high-stakes settings. However, many of them have failed. Past literature in FAccT contributes important insights into how to detect and mitigate AI failures from a technical perspective. ...
- research-articleMay 2024
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing SystemsMay 2024, Article No.: 749, Pages 1–22https://doi.org/10.1145/3613904.3642849Public sector agencies are rapidly deploying AI systems to augment or automate critical decisions in real-world contexts like child welfare, criminal justice, and public health. A growing body of work documents how these AI systems often fail to improve ...
- research-articleMay 2024
Cruising Queer HCI on the DL: A Literature Review of LGBTQ+ People in HCI
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing SystemsMay 2024, Article No.: 507, Pages 1–21https://doi.org/10.1145/3613904.3642494LGBTQ+ people have received increased attention in HCI research, paralleling a greater emphasis on social justice in recent years. However, there has not been a systematic review of how LGBTQ+ people are researched or discussed in HCI. In this work, we ...
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Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia
- Tzu-Sheng Kuo,
- Aaron Lee Halfaker,
- Zirui Cheng,
- Jiwoo Kim,
- Meng-Hsin Wu,
- Tongshuang Wu,
- Kenneth Holstein,
- Haiyi Zhu
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing SystemsMay 2024, Article No.: 193, Pages 1–24https://doi.org/10.1145/3613904.3642278AI tools are increasingly deployed in community contexts. However, datasets used to evaluate AI are typically created by developers and annotators outside a given community, which can yield misleading conclusions about AI performance. How might we ...
- research-articleMay 2024
"If This Person is Suicidal, What Do I Do?": Designing Computational Approaches to Help Online Volunteers Respond to Suicidality
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing SystemsMay 2024, Article No.: 533, Pages 1–21https://doi.org/10.1145/3613904.3641922Online platforms provide support for many kinds of distress, including suicidal thoughts and behaviors. However, because many platforms restrict suicidal talk, volunteers on these platforms struggle with how to help suicidal people who come for support. ...
- research-articleApril 2024
What Makes Digital Support Effective? How Therapeutic Skills Affect Clinical Well-Being
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 8, Issue CSCW1Article No.: 190, Pages 1–29https://doi.org/10.1145/3641029Online mental health support communities, in which volunteer counselors provide accessible mental and emotional health support, have grown in recent years. Despite millions of people using these platforms, the clinical effectiveness of these communities ...
- research-articleNovember 2023
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge
- Anna Kawakami,
- Luke Guerdan,
- Yanghuidi Cheng,
- Kate Glazko,
- Matthew Lee,
- Scott Carter,
- Nikos Arechiga,
- Haiyi Zhu,
- Kenneth Holstein
CI '23: Proceedings of The ACM Collective Intelligence ConferenceNovember 2023, Pages 63–78https://doi.org/10.1145/3582269.3615595A growing body of research has explored how to support humans in making better use of AI-based decision support, including via training and onboarding. Existing research has focused on decision-making tasks where it is possible to evaluate “appropriate ...
- extended-abstractOctober 2023
Community-driven AI: Empowering people through responsible data-driven decision-making
- Ruyuan Wan,
- Adriana Alvarado Garcia,
- Devansh Saxena,
- Catalina Vajiac,
- Anna Kawakami,
- Logan Stapleton,
- Haiyi Zhu,
- Kenneth Holstein,
- Heloisa Candello,
- Karla Badillo-Urquiola
CSCW '23 Companion: Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social ComputingOctober 2023, Pages 532–536https://doi.org/10.1145/3584931.3611282The increasing integration of AI and data-driven technologies in various sectors of society presents both opportunities and challenges, particularly regarding ethical, fair, and inclusive applications. This one-day workshop aims to convene researchers, ...
- research-articleOctober 2023
"Nip it in the Bud": Moderation Strategies in Open Source Software Projects and the Role of Bots
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 7, Issue CSCW2Article No.: 301, Pages 1–29https://doi.org/10.1145/3610092Much of our modern digital infrastructure relies critically upon open sourced software. The communities responsible for building this cyberinfrastructure require maintenance and moderation, which is often supported by volunteer efforts. Moderation, as a ...
- research-articleJuly 2023
Ludification as a Lens for Algorithmic Management: A Case Study of Gig-Workers’ Experiences of Ambiguity in Instacart Work
DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems ConferenceJuly 2023, Pages 638–651https://doi.org/10.1145/3563657.3596004On-demand work platforms are attractive alternatives to traditional employment arrangements. However, several questions around employment classification, compensation, data privacy, and equitable outcomes remain open. The abilities of algorithmic ...
- research-articleJuly 2023
Co-Designing Alternatives for the Future of Gig Worker Well-Being: Navigating Multi-Stakeholder Incentives and Preferences
DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems ConferenceJuly 2023, Pages 664–687https://doi.org/10.1145/3563657.3595982Gig workers, and the products and services they provide, play an increasingly ubiquitous role in our daily lives. But despite growing evidence suggesting that worker well-being in gig economy platforms have become significant societal problems, few ...
- research-articleSeptember 2023Honorable MentionBest Paper
Designing Individualized Policy and Technology Interventions to Improve Gig Work Conditions
CHIWORK '23: Proceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for WorkJune 2023, Article No.: 12, Pages 1–9https://doi.org/10.1145/3596671.3598576The gig economy is characterized by short-term contract work completed by independent workers who are paid to perform “gigs”, and who have control over when, whether and how they conduct work. Gig economy platforms (e.g., Uber, Lyft, Instacart) offer ...
- research-articleApril 2023
Measuring the Stigmatizing Effects of a Highly Publicized Event on Online Mental Health Discourse
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsApril 2023, Article No.: 482, Pages 1–18https://doi.org/10.1145/3544548.3581284Media coverage has historically played an influential and often stigmatizing role in the public’s understanding of mental illness through harmful language and inaccurate portrayals of those with mental health issues. However, it is unknown how and to ...
- research-articleApril 2023Best Paper
Understanding Frontline Workers’ and Unhoused Individuals’ Perspectives on AI Used in Homeless Services
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsApril 2023, Article No.: 860, Pages 1–17https://doi.org/10.1145/3544548.3580882Recent years have seen growing adoption of AI-based decision-support systems (ADS) in homeless services, yet we know little about stakeholder desires and concerns surrounding their use. In this work, we aim to understand impacted stakeholders’ ...
- research-articleNovember 2022
Matching for Peer Support: Exploring Algorithmic Matching for Online Mental Health Communities
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 6, Issue CSCW2Article No.: 311, Pages 1–37https://doi.org/10.1145/3555202Online mental health communities (OMHCs) have emerged in recent years as an effective and accessible way to obtain peer support, filling crucial gaps of traditional mental health resources. However, the mechanisms for users to find relationships that ...
- research-articleNovember 2022
Learning to Become a Volunteer Counselor: Lessons from a Peer-to-Peer Mental Health Community
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 6, Issue CSCW2Article No.: 309, Pages 1–24https://doi.org/10.1145/3555200Online peer-to-peer therapy sessions can be effective in improving people's mental well-being. However, online volunteer counselors may lack the expertise and necessary training to provide high-quality sessions, and these low-quality sessions may ...
- extended-abstractNovember 2022
Who Has an Interest in “Public Interest Technology”?: Critical Questions for Working with Local Governments & Impacted Communities
- Logan Stapleton,
- Devansh Saxena,
- Anna Kawakami,
- Tonya Nguyen,
- Asbjørn Ammitzbøll Flügge,
- Motahhare Eslami,
- Naja Holten Møller,
- Min Kyung Lee,
- Shion Guha,
- Kenneth Holstein,
- Haiyi Zhu
CSCW'22 Companion: Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social ComputingNovember 2022, Pages 282–286https://doi.org/10.1145/3500868.3560484Local governments use a wide array of software, algorithms, and data systems across domains such as policing, probation, child protective services, courts, education, public employment services, homelessness services, etc. A growing body of work in ...
- research-articleJune 2022
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
- Logan Stapleton,
- Min Hun Lee,
- Diana Qing,
- Marya Wright,
- Alexandra Chouldechova,
- Ken Holstein,
- Zhiwei Steven Wu,
- Haiyi Zhu
FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and TransparencyJune 2022, Pages 1162–1177https://doi.org/10.1145/3531146.3533177Child welfare agencies across the United States are turning to data-driven predictive technologies (commonly called predictive analytics) which use government administrative data to assist workers’ decision-making. While some prior work has explored ...