Are Confident Designers Good Teammates to Artificial Intelligence?: A Study of Self-Confidence, Competence, and Collaborative Performance
| Autor: | L. Chong, K. Kotovsky, J. Cagan |
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| Rok vydání: | 2022 |
| Zdroj: | Proceedings of the Design Society. 2:1531-1540 |
| ISSN: | 2732-527X |
| DOI: | 10.1017/pds.2022.155 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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