Transforming HCI Research Cycles using Generative AI and "Large Whatever Models" (LWMs)

被引:1
|
作者
Elagroudy, Passant [1 ]
Li, Jie [2 ]
Vaananen, Kaisa [3 ]
Lukowicz, Paul [4 ]
Ishii, Hiroshi [5 ]
Mackay, Wendy E. [6 ]
Churchill, Elizabeth F. [7 ]
Peters, Anicia [8 ]
Oulasvirta, Antti [9 ]
Prada, Rui [10 ]
Diening, Alexandra [11 ]
Barbareschi, Giulia [12 ]
Gruenerbl, Agnes [4 ]
Kawaguchi, Midori [12 ]
El Ali, Abdallah [13 ]
Draxler, Fiona [14 ]
Welsch, Robin [9 ]
Schmidt, Albrecht [15 ]
机构
[1] RPTU Kaiserslautern Landau, German Res Ctr Artificial Intelligence DFKI, Kaiserslautern, Germany
[2] EPAM, Hoofddorp, Netherlands
[3] Tampere Univ, Tampere, Finland
[4] German Res Ctr Artificial Intelligence DFKI, Kaiserslautern, Germany
[5] MIT Media Lab, Cambridge, MA USA
[6] Univ Paris Saclay, ExSitu, Inria, LISN, Paris, France
[7] Google LLC, Mountain View, CA USA
[8] Natl Commiss Res Sci & Technol, Windhoek, Namibia
[9] Aalto Univ, Otaniemi, Finland
[10] Univ Lisbon, Inst Super Tecn, INESC ID, Lisbon, Portugal
[11] EPAM, Zurich, Switzerland
[12] Keio Univ, Keio Grad Sch Media Design, Greater Tokyo, Japan
[13] Ctr Wiskunde & Informat CWI, Amsterdam, Netherlands
[14] Univ Mannheim, Mannheim, Germany
[15] Ludwig Maximilians Univ Munchen, Munich, Germany
基金
欧洲研究理事会;
关键词
Generative AI; Large Language Models; Large Multimodal Models; ChatGPT; research processes; science; HCI research;
D O I
10.1145/3613905.3643977
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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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页数:5
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