Emotional Valence and Arousal: The Impact of AI-Generated Image Stimuli on Design Creativity
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| Title: | Emotional Valence and Arousal: The Impact of AI-Generated Image Stimuli on Design Creativity |
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| Language: | English |
| Authors: | Guanhua Hou, Xinlei Wang |
| Source: | International Journal of Technology and Design Education. 2025 35(3):1103-1122. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: | Y |
| Page Count: | 20 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Artificial Intelligence, Design, Computer Graphics, Creativity, Emotional Response, Students, Influence of Technology, Technology Uses in Education, Arousal Patterns |
| DOI: | 10.1007/s10798-024-09941-2 |
| ISSN: | 0957-7572 1573-1804 |
| Abstract: | The AI-generated inspirational images provided a new pathway for design learners to obtain inspiration, but previous research had overlooked the impact of the emotional valence and arousal of AI-generated images on design creativity. This study investigated the effects of emotional valence and arousal of AI-generated images on design creativity through two experiments. Experiment 1 examined the impact of emotional valence (positive, neutral, negative) of AI-generated images on design creativity, while Experiment 2 further analyzed the impact of arousal levels (high, low) of AI-generated images and design problem types (conceptual design problems, knowledge design problems) on design creativity under positive emotional conditions. The results showed that AI-generated images with positive emotional valence facilitated divergent thinking and enhanced the flexibility and originality of creative ideas. In knowledge design problems, AI-generated images with positive emotional valence and high arousal levels enhanced the originality of creative ideas. However, in conceptual design problems, the arousal levels of AI-generated images with positive emotional valence had no significant impact on design creativity. These findings provided insights into how design learners could utilize AI assistance in design. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1485428 |
| Database: | ERIC |
| Abstract: | The AI-generated inspirational images provided a new pathway for design learners to obtain inspiration, but previous research had overlooked the impact of the emotional valence and arousal of AI-generated images on design creativity. This study investigated the effects of emotional valence and arousal of AI-generated images on design creativity through two experiments. Experiment 1 examined the impact of emotional valence (positive, neutral, negative) of AI-generated images on design creativity, while Experiment 2 further analyzed the impact of arousal levels (high, low) of AI-generated images and design problem types (conceptual design problems, knowledge design problems) on design creativity under positive emotional conditions. The results showed that AI-generated images with positive emotional valence facilitated divergent thinking and enhanced the flexibility and originality of creative ideas. In knowledge design problems, AI-generated images with positive emotional valence and high arousal levels enhanced the originality of creative ideas. However, in conceptual design problems, the arousal levels of AI-generated images with positive emotional valence had no significant impact on design creativity. These findings provided insights into how design learners could utilize AI assistance in design. |
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| ISSN: | 0957-7572 1573-1804 |
| DOI: | 10.1007/s10798-024-09941-2 |
