Seyun Kim
@seyunkim_hci
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Ph.D. student @cmuhcii @SCSatCMU researching HCI | previously @cs_cornell | she/hers | https://t.co/SWr4dWnRqB
Pittsburgh, PA
Joined December 2021
✨New short paper✨inviting those of us who work on participatory AI/ representational harm, to think more critically about whether improved AI models *actually benefit* marginalized groups.
What barriers do marginalized communities face in realizing the promised benefits of participating in GenAI dev? My new NeurIPS EvalEval paper with @narijohnson and @smhall97 unpacks these barriers to benefits and explores paths forward. 🧵[1/8] #NeurIPS2024
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CMU at #cscw2024 ❤️
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I'll be presenting our work at #cscw2024 in person "Integrating Equity in Public Sector Data-Driven Decision Making: Exploring the Desired Futures of Underserved Stakeholders". Mon 11/11 11:00 Session 2e: Data, Power, and Justice Excited to chat with folks there!
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#CSCW24 🌱Come hear about our quantitative, empirical work studying the efficacy & techniques used in online support communities, "What Makes Digital Support Effective?" @ 2:30pm Tues. in "3b: Bridging Technology & Therapy". 👋🏻Would love to chat with folks there!
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8/n This work has been conducted with my collaborators and co-authors: @meslami2 @Haiyi_Zhu @perhaxis John Zimmerman, Jessie Ramey, Jonathan Ho, Yinan Li, Bonnie Fan, Willa Yunqi Yang
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7/n Find the full paper here: (link to the paper) https://t.co/IUKXgHTgTg I am very excited to be presenting this work at Costa Rica #cscw2024 in person!
drive.google.com
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6/n Based on our findings, we suggest design implications to assist designers of public sector data-driven decision making systems to integrate equity considerations.
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5/n Information and Equity: Participants expressed lack of trust towards the public sector providing useful and reliable information that is intended to improve equity.
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4/n Resource Allocation Prioritization: As opposed to identities as means for driving equity, participants favored factors such as has community needs, complexity of the application process, precarity of the business as factors for integrating equity.
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3/n Monitoring Equity: Monitoring equity can highlight unfair practices by the public sector; however, participants argued against collection of disaggregated data.
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2/n Exploring three aspects of equity (monitoring equity, resource allocation prioritization, and information and equity, our findings highlight the complexities of integrating equity into data-driven decisions, offering nuanced insights about the needs of stakeholders.
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1/n Actively engaging with underserved stakeholders in the process of integrating equity, we conducted a speed dating study with storyboards that explore various equity-centric alternative futures in the context of the local business development.
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How can equity be integrated in public sector data-driven decision making systems? In our upcoming #CSCW2024 paper, we highlight early-stage involvement of underserved stakeholders concerning integrating inequity into data-driven decisions.
How can equity be integrated in public sector data-driven decision making systems? This #CSCW2024 paper explores the nuances of embedding equity into these systems by highlighting the needs of impacted stakeholders:
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At #UIST2024, I'm presenting two projects: 🎶〰️SonoHaptics and 🔊Auptimize! We tackle perceptual challenges in XR interactions (gaze-based object selection & audio localization) through multisensory feedback - without relying on visual displays. 🧵
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Very excited to share our #CHI2024 paper on the ✨Situate AI Guidebook✨, a toolkit designed in collaboration with public sector agencies & community advocacy groups, to scaffold early-stage deliberations around *whether or not* to move forward w/ developing a proposed AI tool🧵
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Please join us in congratulating longtime staff member, Queenie Kravitz, on her retirement today. She started @CarnegieMellon in 1993 and the HCII in 2004, and as graduate program coordinator certified our very first HCI PhD and master's degrees. Congrats, Queenie! #CMUhcii
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🎉"Exploring Trade-Offs for Online Mental Health Matching: Agent-Based Modeling Study" is published in JMIR! 💻We show how agent-based simulation enables safe, controlled experimentation of algorithmic protocols for online mental health support. https://t.co/kpr8uUMfnk
formative.jmir.org
Background: Online mental health communities (OMHCs) are an effective and accessible channel to give and receive social support for individuals with mental and emotional issues. However, a key...
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If you're applying to CMU SCS PhD programs and come from a traditionally underrepresented group, current students are here to help! Apply to the Graduate Applicant Support Program (GASP) by Oct. 8, 2024 to receive feedback on your application materials:
cs.cmu.edu
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