人工智能生成艺术图像的信任研究

陈莉; 刘艺东; 王康; 陈欣星

doi:10.19554/j.cnki.1001-3563.2025.18.032

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包装工程（设计栏目） ›› 2025, Vol. 46 ›› Issue (18) : 359-367. DOI: 10.19554/j.cnki.1001-3563.2025.18.032

设计研讨

人工智能生成艺术图像的信任研究

陈莉¹, 刘艺东^2,*, 王康³, 陈欣星⁴

作者信息 +

Trust Study on Artificial Intelligence Generated Artistic Images

CHEN Li¹, LIU Yidong^2,*, WANG Kang³, CHEN Xinxing⁴

Author information +

文章历史 +

摘要

目的人工智能生成的艺术图像在包装设计领域已有大量实践案例,但并非所有AI生成的图像都能被用户接受。探索艺术图像的属性如何影响人们判断艺术图像是否由AI生成,重点不在于用户是否分辨出了AI生成的艺术图像,而在于用户是否“信任”图像的绘制方式,以此为设计师筛选AI生成的艺术图像及AI生成图像技术发展提供实证参考和建议。方法基于艺术图像的复杂度、样本熵和艺术风格3种属性分类艺术图像数据库中AI生成艺术图像与真人绘制艺术图像;筛选160张不同复杂度、艺术风格的艺术图像,参与者对每幅艺术图像是否由AI生成的信任程度进行打分;对参与者进行艺术知识水平问卷测试;分析艺术图像属性和参与者对图像绘制方式的信任程度。结果熵对于参与者信任没有显著影响,复杂度和个体艺术知识水平对于参与者信任图像的绘制方式有显著影响。结论研究结果对于理解艺术图像的用户信任构建具有实际意义,加深了对图像属性如何影响人类感知的理解。

Abstract

There have been numerous practical cases of AI-generated art images in the field of packaging design, but not all AI-generated images are accepted by users. The work aims to explore how the properties of art images influence people's judgment about whether art images are generated by AI, with focus on whether the user can "trust" the way the image is drawn, rather than whether the user can distinguish the AI-generated art image, so as to provide empirical reference and advice for designers to screen the AI-generated art image and AI-generated image technology. AI generated art images and real-life art images in the art image database were classified based on the three attributes of art image complexity, sample entropy and art style; 160 art images with different complexity and art style were screened. Each art image was scored by the subjects based on their level of trust in whether it was generated by AI. A questionnaire test was conducted on the artistic knowledge level of the subjects. The attributes of art images and the users' degree of trust on the ways of image drawing were analyzed. The results showed that entropy had no significant effect on user trust, and complexity and individual artistic knowledge had a significant effect on the way users trust images. The results have practical implications for understanding user trust building in artistic images, and deepen the understanding of how image properties affect human perception.

导出引用1

陈莉, 刘艺东, 王康, 陈欣星. 人工智能生成艺术图像的信任研究[J]. 包装工程. 2025, 46(18): 359-367 https://doi.org/10.19554/j.cnki.1001-3563.2025.18.032

CHEN Li, LIU Yidong, WANG Kang, CHEN Xinxing. Trust Study on Artificial Intelligence Generated Artistic Images[J]. Packaging Engineering. 2025, 46(18): 359-367 https://doi.org/10.19554/j.cnki.1001-3563.2025.18.032

中图分类号： TB482

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