Are Confident Designers Good Teammates to Artificial Intelligence?: A Study of Self-Confidence, Competence, and Collaborative Performance. (May 2022)

• Record Type: Journal Article
• Authors: Chong, L.; Kotovsky, K.; Cagan, J.
• Is Part Of: Proceedings of the Design Society. Volume 2(2022)
• Page Start: 1531
• Page End: 1540
• Publication Date: 2022-05
• Subjects: artificial intelligence (AI) -- teamwork -- collaborative design -- decision making -- design cognition; Industrial design -- Congresses; Engineering design -- Congresses; 620.0042
• DOI: 10.1017/pds.2022.155
• Languages: English
• ISSNs: 2633-7762

Abstract

Abstract: For successful human-artificial intelligence (AI) collaboration in design, human designers must properly use AI input. Some factors affecting that use are designers' self-confidence and competence and those variables' impact on reliance on AI. This work studies how designers' self-confidence before and during teamwork and overall competence are associated with their performance as teammates, measured by AI reliance and overall team score. Results show that designers' self-confidence and competence have very different impacts on their collaborative performance depending on the accuracy of AI.