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Transforming HCI Methods using GenAI and "Large Whatever Models" (LWMs)

Passant Alagroudy; Jie Li; Albecht Schmidt; Paul Lukowicz; Kaisa Väänänen; Hirishi Ishii; Antti Oulasvirta; Rui Prada; Giulia Barbareschi; Agnes Grünerbl; Abdallah El Ali; Anicia Peters; Alexandra Deining; Fiona Draxler; Wendy Mackay; Elisatheth Churchill; Julie Williamson; Robin Welsch; Midori Kawaguchi
In: Special Interest Group at the ACM CHI Conference on Human Factors in Computing Systems. ACM International Conference on Human Factors in Computing Systems (CHI-2024), May 11-16, Honolulu, Hawaii, USA, ACM, 5/2024.


This Special Interest Group (SIG) explores the transformative impact of Generative Artificial Intelligence (GenAI) on Human-Computer Interaction (HCI) research processes. The theme here is to answer “question zero”: when to use and when to refrain from using AI tools during the research cycle? The discussion is guided by five research phases commonly used in HCI: paper planning, prototyping, data collection, analysis and synthesis, and dissemination and communication. We investigate how GenAI accelerates project cycles, enhances reproducibility, and influences inclusivity in research. We also address the challenging ethical considerations about the ownership of generated content. Our goal is to build a community of HCI enthusiasts to harness the early advantages of the recent groundbreaking technology and foresee challenges arising from its prevalence in the scientific community.