2024-05-11
Transforming HCI research cycles using generative AI and “large whatever models” (LWMs)
Publication
Publication
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: research 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.
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| , , , , , , | |
| doi.org/10.1145/3613905.3643977 | |
| 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 | |
| Organisation | Distributed and Interactive Systems |
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Passant, A., Li, J., Väänänen, K., Lukowicz, P., Ishii, H., Mackay, W., … Schmidt, A. (2024). Transforming HCI research cycles using generative AI and “large whatever models” (LWMs). In CHI EA: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1–5). doi:10.1145/3613905.3643977 |
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