信息资源管理学报 ›› 2026, Vol. 16 ›› Issue (4): 69-80.doi: 10.13365/j.jirm.2026.04.069

• 学术专栏-人智交互中的信息行为与服务 • 上一篇    下一篇

人智协作模式下AI素养对创造力的作用机理研究——基于任务复杂度与自我感知专业知识的调节

张进澳1  张丹妮2 赵宇翔1 王凯扬2   

  1. 1.南京大学信息管理学院,南京,210023; 
    2.华中师范大学信息管理学院,武汉,430079
  • 出版日期:2026-07-26 发布日期:2026-09-21
  • 作者简介:张进澳,博士研究生,研究方向为人智交互、人工智能素养;张丹妮,博士研究生,研究方向为人智交互;赵宇翔(通讯作者),博士,教授,研究方向为人机交互、健康信息学,Email: yxzhao@vip. 163.com;王凯扬,硕士研究生,研究方向为信息行为。
  • 基金资助:
    本文系国家社科基金重大项目“ 智能时代提升全民数字素养的理论和实践研究”(24&ZD180)的研究成果之一。

How AI Literacy Affects Creativity in Human-AI Collaboration: Based on the Regulation of Task Complexity and Self-Perceived Expertise

Zhang Jinao1 Zhang Danni2 Zhao Yuxiang1 Wang Kaiyang2   

  1. 1.School of Information Management, Nanjing University, Nanjing, 210023; 
    2.School of Information Management, Central China Normal University, Wuhan, 430079
  • Online:2026-07-26 Published:2026-09-21
  • About author:Zhang Jinao, PhD candidate, research interests including human-AI interaction and AI literacy; Zhang Danni, PhD candidate, research interests including human-AI interaction; Zhao Yuxiang (corresponding author), PhD, professor, research interests including human-computer interaction and health informatics, Email: yxzhao@vip.163.com; Wang Kaiyang, master student, research interests including information bechavior.
  • Supported by:
    This work was supported by the Major Project of the National Social Science Fund of China "Theoretical and Practical Research on Enhancing Digital Literacy for All in the Intelligent Era"(24&ZD180).

摘要: 数智时代,生成式人工智能加速知识生产由网络化协作向人智协作转型,并在创意生成等领域展现出强劲的应用潜能。本研究尝试基于三组实验,从创造力类型、任务复杂度、自我感知专业知识出发,系统探讨AI素养对创造力的作用机理。研究发现,创新自我效能感在AI素养提升个体创造力的过程中具有中介作用,且自我感知专业知识在AI素养与创新自我效能感之间具有积极的调节作用。具体而言,AI素养对增量创造力具有显著促进作用,且在任务复杂度较高时,该作用更为显著;而AI素养对激进创造力的影响并不显著。本研究在理论上深化了AI素养对创造力作用机理的理解,在实践上为创作者的任务配置优化与能力提升提供了具体参考。

关键词: 人智交互, 人工智能素养, 创造力, 人智协作, 创意

Abstract: In the era of AI, generative AI is accelerating the shift in knowledge production from networked modes toward human-AI collaboration, and it is exhibiting strong application potential in domains such as idea generation. Drawing on three sets of experiments, this study systematically investigates the mechanisms through which AI literacy affects creativity, focusing on creativity type, task complexity, and self-perceived expertise. The study found that creative self-efficacy plays a mediating role in the process of AI literacy enhancing individual creativity, and that self-perceived expertise has a positive moderating effect between AI literacy and creative self-efficacy. Specifically, AI literacy significantly promotes incremental creativity, with a more pronounced effect when task complexity is higher; however, the impact of AI literacy on radical creativity is not significant. This study theoretically deepens the understanding of the mechanism by which AI literacy influences creativity, and practically provides concrete references for optimizing task configuration and improving the capabilities of creators.

Key words: Human-AI interaction, AI literacy, Creativity, Human-AI collaboration, Originality

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