Transforming Human-AI Collaboration using “Large Whatever Models”(LWMs)
ElAgroudy, Passant Li, Jie Vaananen, Kaisa Lukowicz, Paul Ishii, Hiroshi Mackay, Wendy E. Churchill, Elizabeth F. Peters, Anicia N. Oulasvirta, Antti Prada, Rui
ElAgroudy, Passant
Li, Jie
Vaananen, Kaisa
Lukowicz, Paul
Ishii, Hiroshi
Mackay, Wendy E.
Churchill, Elizabeth F.
Peters, Anicia N.
Oulasvirta, Antti
Prada, Rui
Author
Supervisor
Department
Human Computer Interaction
Embargo End Date
Type
Conference proceeding
Date
2024
License
Language
English
Collections
Research Projects
Organizational Units
Journal Issue
Abstract
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.
Citation
P. Elagroudy et al., “Transforming HCI Research Cycles using Generative AI and ‘Large Whatever Models’ (LWMs),” Conference on Human Factors in Computing Systems - Proceedings, May 2024, doi: 10.1145/3613905.3643977
Source
CHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Conference
CHI '24: CHI Conference on Human Factors in Computing Systems
Keywords
Subjects
Source
CHI '24: CHI Conference on Human Factors in Computing Systems
Publisher
Association for Computing Machinery