Title data
Endres, Kathrin ; Schöttl, Frederik ; Baisch, Lisa:
When AI Sparks Less : Generative AI and the Decline of Self-Perceived Creativity.
In:
Proceedings of the 34th European Conference on Information Systems (ECIS). -
Milan, Italy
,
2026
Project information
| Project financing: |
Fraunhofer Blockchain Center |
|---|
Abstract in another language
The integration of Generative Artificial Intelligence (GenAI) into creative work has the potential to transform how individuals generate ideas and solve problems. While prior research has emphasized GenAI’s ability to enhance productivity and creative outcomes, less is known about its impact on the psychological and skill-based components of human creativity. This study investigates how using GenAI influences intrinsic task motivation, domain-relevant skills, creativity-relevant skills, and self-evaluated creative performance. Results from the experiment with 82 participants revealed that GenAI usage significantly decreased intrinsic task motivation, domain-relevant skills, and creativity-relevant skills, while self-evaluated performance remained unchanged. These findings indicate that although GenAI can provide objective support for creative tasks, its use may undermine individuals’ perceptions of their own competence and creative abilities. The results highlight the role of GenAI in human-AI collaboration, emphasizing that technological augmentation may coexist with declines in the psychological resources traditionally driving creativity.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Generative Artificial Intelligence; Human-AI Collaboration; Creativity; Self-Perceived Creativity; Self-Perceived Performance |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
| Date Deposited: | 03 Jul 2026 06:30 |
| Last Modified: | 03 Jul 2026 06:30 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/98959 |

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