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.
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Chong, L., Kotovsky, K., & Cagan, J. (2022). Are Confident Designers Good Teammates to Artificial Intelligence?: A Study of Self-Confidence, Competence, and Collaborative Performance. In Proceedings of the Design Society (Vol. 2, pp. 1531–1540). Cambridge University Press. https://doi.org/10.1017/pds.2022.155
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