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Human-AI Collaboration Among Engineering and Design Professionals: Three Strategies of Generative AI UseDesigners are increasingly using Generative Artificial Intelligence (GenAI) in design processes; however, knowing how designers use GenAI--especially in professional design practice--is under-explored. This paper presents an ethnographic study of a design team at NASA that explores the natural variation of GenAI use across team members during a speculative design workflow. We aimed to uncover when, how, and why GenAI tools were or were not employed using ethnographic observations to map the team's speculative design process and follow-up interviews to provide deeper insights into team members' interactions (or lackthereof) with GenAI. Through inductive qualitative coding, our analysis revealed three strategies of GenAI use observed among professional engineers and designers--intimate co-design with GenAI, selective delegation to GenAI, and minimal use of GenAI--as well as factors that appeared to influence their decisions whether or not to use GenAI. This study proposes new theory in human-AI collaboration that sheds light on the strategies, rationale, and circumstances under which design professionals use GenAI. Future work that builds upon these insights include examining a larger sample size of engineering and design professionals in uncontrolled design process experiences and exploring the impact that design tasks, goals, and constraints have on a participants decision to leverage GenAI tools.
Document ID
20240003050
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Kevin Ma
(University of California, Berkeley Berkeley, United States)
George Moore
(Massachusetts Institute of Technology Cambridge, United States)
Vikram Shyam
(Glenn Research Center Cleveland, United States)
James Villarrubia
(General Services Administration Washington, United States)
Kosa Goucher-Lambert
(University of California, Berkeley Berkeley, United States)
Eric Reynolds Brubaker
(Langley Research Center Hampton, United States)
Date Acquired
March 11, 2024
Subject Category
Cybernetics, Artificial Intelligence and Robotics
Report/Patent Number
DETC2024-143560
Meeting Information
Meeting: ASME International Design Engineering Technical Conferences (IDETC-CIE)
Location: Washington, DC
Country: US
Start Date: August 25, 2024
End Date: August 28, 2024
Sponsors: American Society of Mechanical Engineers
Funding Number(s)
WBS: 533127.02.70.07
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
design practice
human-AI collaboration
generative AI
speculative design
strategic foresight
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