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ORIGINAL RESEARCH article

Front. Psychol.

Sec. Media Psychology

This article is part of the Research TopicReimagining roles and identity in the era of human - AI collaboration - Volume 2View all 3 articles

From Humans to AI: Understanding Why AI Is Perceived as the Preferred Co-Creation Partner

Provisionally accepted
  • 1Zhejiang Gongshang University School of Public Affairs, Hangzhou, China
  • 2Sichuan University School of Business, Chengdu, China

The final, formatted version of the article will be published soon.

With the widespread adoption of generative AI in creative industries, individuals increasingly face a choice between human-human co-creation and human-AI co-creation. Prior comparisons of these modes have largely focused on output quality, efficiency, and user experience, while giving less attention to co-creation intention. Drawing on creativity theory, we argue that perceived novelty and perceived usefulness are the key mechanisms linking co-creator types to co-creation intention, and we test this account across four empirical studies. The results show that, relative to co-creating with humans, co-creating with AI significantly increases participants’ perceived novelty and, counterintuitively, perceived usefulness, thereby increasing co-creation intention. Qualitative interviews identify three principal drivers of why AI is regarded as more useful—efficiency, value, and relationship. Furthermore, we find that the need to belong exerts a moderating effect. Overall, this research extends creativity theory to the AI collaboration context, challenges the conventional assumption that “AI offers greater novelty whereas humans offer greater usefulness,” and uncovers social-motivational boundary conditions in technology-assisted creative work.

Keywords: artificial intelligence, co-creation intention, Perceived novelty, Perceived usefulness, The need to belong, creativity theory

Received: 29 Aug 2025; Accepted: 20 Nov 2025.

Copyright: © 2025 Liu, Yang and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Haoran Xu, xuhr.97@qq.com

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