Human Subjects Research in the Age of Generative AI: Opportunities and Challenges of Applying LLM-Simulated Data to HCI Studies
  • Hwang, Angel Hsing-Chi
  • Bernstein, Michael S.
  • Sundar, S. Shyam
  • Zhang, Renwen
  • Ribeiro, Manoel Horta
  • 외 10명
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초록

Rapid advances in generative artificial intelligence suggest new possibilities for how human subjects research can be conducted in HCI studies. The panel invites both computer and social scientists to discuss future directions for applying simulated responses from large language models (LLM) for human subjects research. We discuss current challenges and opportunities in LLM simulations and brainstorm how insights across different disciplines might inform breakthroughs. We pay close attention to when and how applications of LLM simulations might augment human subjects research instead of steering it toward unintended directions. Discussions from the panel will provide preliminary ideas for when and how HCI researchers can apply LLM simulations to human subjects research pipelines. Through this engagement, we also aim to build a research community with shared interests. © 2025 Copyright held by the owner/author(s).

키워드

human subject researchLLM simulationsocial science in HCIsynthetic data
제목
Human Subjects Research in the Age of Generative AI: Opportunities and Challenges of Applying LLM-Simulated Data to HCI Studies
저자
Hwang, Angel Hsing-ChiBernstein, Michael S.Sundar, S. ShyamZhang, RenwenRibeiro, Manoel HortaLu, YingdanChang, SerinaWu, TongshuangYang, AimeiWilliams, DmitriPark, Joon SungOgnyanova, KatherineXiao, ZiangShaw, AaronShamma, David A.
DOI
10.1145/3706599.3716299
발행일
2025-04
유형
Proceedings Paper
저널명
Conference on Human Factors in Computing Systems - Proceedings