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

Published online by Cambridge University Press:  26 May 2022

L. Chong ,
K. Kotovsky  and
J. Cagan
L. Chong
Affiliation:
Carnegie Mellon University, United States of America
K. Kotovsky
Affiliation:
Carnegie Mellon University, United States of America
J. Cagan*
Affiliation:
Carnegie Mellon University, United States of America
*
cagan@cmu.edu

Abstract

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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.

Keywords

artificial intelligence (AI)teamworkcollaborative designdecision makingdesign cognition
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1531 - 1540
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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