Abstract
This paper examines whether AI-generated art can serve as a source of inspiration to enhance individual creative performance. Specifically, the study investigates whether AI-generated art has associative potential that can stimulate idea generation and enhance individual creativity in terms of originality and the number of ideas generated by humans. To address this research problem, we focus on DALL-E-2, a generative AI system that can create images from textual descriptions. We first provide an overview of situational creativity support systems and then present the design of an online experiment in which 298 participants used (artificially generated vs. traditional) art or none to ideate. The data shows that art in general, but AI-generated especially, has the potential to enhance creative performance by stimulating idea generation. We discuss the implications of using AI-generated art as a creative support tool.
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | AMCIS 2023 Proceedings |
| Untertitel des Sammelwerks | 29th Americas Conference on Information Systems, AMCIS 2023, Panama City, Panama, August 10-12, 2023 |
| Herausgeber*innen | Paul A. Pavlou, Vishal Midha, Animesh Animesh, Traci A. Carte, Alexandre R. Graeml, Alanah Mitchell |
| Erscheinungsort | Atlanta |
| Verlag | Association for Information Systems |
| Seitenumfang | 10 |
| ISBN (elektronisch) | 978-1-958200-05-6 |
| Publikationsstatus | Veröffentlicht - 2023 |
| Extern publiziert | Ja |