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

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Leah Chong, Kenneth Kotovsky, Jonathan Cagan
Series: DESIGN
Institution: Carnegie Mellon University, United States of America
Section: Artificial Intelligence and Data-Driven Design
Page(s): 1531-1540
DOI number: https://doi.org/10.1017/pds.2022.155
ISSN: 2732-527X (Online)

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.

Keywords: artificial intelligence (AI), teamwork, collaborative design, decision making, design cognition