Perception of AI Creativity: Dimensional Exploration and Scale Development

ABSTRACT With the rapid advancement of artificial intelligence (AI), AI creativity has demonstrated significant potential for application across various fields. This study aims to explore the multidimensional characteristics of AI creativity from the audience's perspective and to develop a corresponding measurement scale. Specifically, Study 1 utilized open‐ended interviews with audiences of AI‐generated creative products and grounded theory‐based data coding to construct a theoretical framework of AI creativity perception. This framework encompasses four core dimensions: originality, depth, credibility, and attractiveness. In Study 2, an exploratory factor analysis and confirmatory factor analysis were conducted to develop a scale with high reliability and validity for measuring AI creativity perception, providing empirical support for the multidimensional framework. To further validate the scale's criterion‐related validity, Study 3 examined the effect of AI involvement disclosure on creativity perception. The results reveal that audiences hold biases against AI; although AI is perceived to have a significant advantage in enhancing the originality of creative products, it is viewed as less capable in terms of depth, credibility, and attractiveness. This research offers insights into the future development and iteration of AI creativity.

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Publication Details

Journal
The Journal of Creative Behavior
Published
2025-05-05
DOI
https://doi.org/10.1002/jocb.70028
Citations
6
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
12.71

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article

Perception of AI Creativity: Dimensional Exploration and Scale Development

Yongzhong Yang, Haoran Xu
6 citations
The Journal of Creative Behavior
Creativity in Education and Neuroscience
12.71
article

Perception of AI Creativity: Dimensional Exploration and Scale Development

Yongzhong Yang, Haoran Xu
article en
6 citations

Abstract

ABSTRACT With the rapid advancement of artificial intelligence (AI), AI creativity has demonstrated significant potential for application across various fields. This study aims to explore the multidimensional characteristics of AI creativity from the audience's perspective and to develop a corresponding measurement scale. Specifically, Study 1 utilized open‐ended interviews with audiences of AI‐generated creative products and grounded theory‐based data coding to construct a theoretical framework of AI creativity perception. This framework encompasses four core dimensions: originality, depth, credibility, and attractiveness. In Study 2, an exploratory factor analysis and confirmatory factor analysis were conducted to develop a scale with high reliability and validity for measuring AI creativity perception, providing empirical support for the multidimensional framework. To further validate the scale's criterion‐related validity, Study 3 examined the effect of AI involvement disclosure on creativity perception. The results reveal that audiences hold biases against AI; although AI is perceived to have a significant advantage in enhancing the originality of creative products, it is viewed as less capable in terms of depth, credibility, and attractiveness. This research offers insights into the future development and iteration of AI creativity.

The Journal of Creative BehaviorVol. 59(2)
Sichuan University (CN)
National Social Science Fund of China
Openalex Percentile: Top 1%
Creativity in Education and Neuroscience
12.71
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Perception of AI Creativity: Dimensional Exploration and Scale Development — Yongzhong Yang, Haoran Xu · The Journal of Creative Behavior (2025) | TGRS Research Map | TGRS