Sound Research WIKINDX
Sound Research WIKINDX |
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Wadinambiarachchi, S., Kelly, R. M., Pareek, S., Zhou, Q., & Velloso, E. 2024 The Effects of Generative AI on Design Fixation and Divergent Thinking. Paper presented at Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Added by: alexb44 (5/21/26, 5:40 AM) Last edited by: alexb44 (5/21/26, 5:41 AM) |
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| Resource type: Proceedings Article Published DOI: 10.1145/3613904.3642919 ID no. (ISBN etc.): 9798400703300 BibTeX citation key: Wadinambiarachchi2024 Email resource to friend View all bibliographic details  |
Categories: AI/Machine Learning Keywords: Artificial Intelligence, Creativity support tools, Design fixation, Generative-AI Creators: Kelly, Pareek, Velloso, Wadinambiarachchi, Zhou Collection: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems |
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| Abstract |
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Generative AI systems have been heralded as tools for augmenting human creativity and inspiring divergent thinking, though with little empirical evidence for these claims. This paper explores the effects of exposure to AI-generated images on measures of design fixation and divergent thinking in a visual ideation task. Through a between-participants experiment (N=60), we found that support from an AI image generator during ideation leads to higher fixation on an initial example. Participants who used AI produced fewer ideas, with less variety and lower originality compared to a baseline. Our qualitative analysis suggests that the effectiveness of co-ideation with AI rests on participants’ chosen approach to prompt creation and on the strategies used by participants to generate ideas in response to the AI’s suggestions. We discuss opportunities for designing generative AI systems for ideation support and incorporating these AI tools into ideation workflows.
Added by: alexb44 Last edited by: alexb44 |