Does human–AI collaboration lead to more creative art? Aesthetic evaluation of human-made and AI-generated haiku poetry

俳句 诗歌 铅(地质) 心理学 美学 认知科学 视觉艺术 艺术 文学类 地貌学 地质学
作者
Jimpei Hitsuwari,Yasuo Ueda,Woojin Yun,Michio Nomura
出处
期刊:Computers in Human Behavior [Elsevier]
卷期号:139: 107502-107502 被引量:17
标识
DOI:10.1016/j.chb.2022.107502
摘要

With the development of technology, the quality of AI-generated text has improved. This is relevant in the AI art field, where AI generates literature or poetry that is appreciated. This study compared human-made and AI-generated haiku poetry, which is composed with 17 syllables and the world's shortest and clearest rules, to examine aesthetic evaluations of AI art and people's beliefs about it. AI-generated haiku were divided into those with and without human intervention. Two tasks were completed by 385 participants. The first involved evaluating human-made and AI-generated haiku on 21 items, such as beauty. The second involved determining whether the haiku were human-made or AI-generated. The results showed that the beauty rating of the AI-generated haiku with the human intervention was the highest, and those of the human-made and AI-generated haiku without human intervention were equal. Furthermore, participants could not distinguish between human-made and AI-generated haiku. These results suggest that human–AI collaboration has better creativity in haiku production. Moreover, a negative correlation was found between discrimination performance and beauty rating in AI-generated haiku, suggesting that high-quality AI-generated work is believed to be human-made. This study indicates the potential of human–AI collaboration in haiku and the underestimation of AI art due to algorithm aversion. • Human-made and AI-generated poetry were examined using haiku poetry. • The beauty rating of the AI-generated haiku with human intervention was the highest. • Participants could not distinguish between human-made and AI-generated haiku. • AI-generated haiku showed a negative correlation between beauty score and hit rate. • State and trait factors that explain the beauty and accuracy of author distinction were examined.
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