TY - GEN
T1 - Human Subjects Research in the Age of Generative AI
T2 - 2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025
AU - Hwang, Angel Hsing Chi
AU - Bernstein, Michael S.
AU - Sundar, S. Shyam
AU - Zhang, Renwen
AU - Ribeiro, Manoel Horta
AU - Lu, Yingdan
AU - Chang, Serina
AU - Wu, Tongshuang
AU - Yang, Aimei
AU - Williams, Dmitri
AU - Park, Joon Sung
AU - Ognyanova, Katherine
AU - Xiao, Ziang
AU - Shaw, Aaron
AU - Shamma, David A.
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/4/26
Y1 - 2025/4/26
N2 - 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.
AB - 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.
KW - human subject research
KW - LLM simulation
KW - social science in HCI
KW - synthetic data
UR - http://www.scopus.com/inward/record.url?scp=105005770413&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105005770413&partnerID=8YFLogxK
U2 - 10.1145/3706599.3716299
DO - 10.1145/3706599.3716299
M3 - Conference contribution
AN - SCOPUS:105005770413
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 26 April 2025 through 1 May 2025
ER -