Knowledge Base Repository

In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

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

Leah Chong, Kenneth Kotovsky, Jonathan Cagan


Type:
Year:
2022
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author:
Series:
DESIGN
Institution:
Carnegie Mellon University, United States of America
Section:
Artificial Intelligence and Data-Driven Design
Page(s):
1531-1540
DOI number:
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:

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.