图书情报知识 ›› 2024, Vol. 41 ›› Issue (5): 103-114, 127.doi: 10.13366/j.dik.2024.05.103

• 情报、信息与共享 • 上一篇    下一篇

AI换脸技术焦虑的生成机制: 基于SEM和fsQCA的实证分析

谢兴政1 ,段秋婷2   

  1. 1. 复旦大学新闻学院,上海,200433;
    2.上海大学新闻传播学院,上海,200444
  • 出版日期:2024-09-10 发布日期:2024-11-03
  • 通讯作者: 段秋婷(ORCID:0000-0003-3457-7927),博士,讲师,研究方向:互联网用户隐私,Email:pandaqiu913@foxmail.com。
  • 作者简介:谢兴政(ORCID:0000-0001-9652-1916),博士,青年副研究员,研究方向:数字用户隐私行为,Email:xiexingzheng@fudan.edu.cn。
  • 基金资助:
    本文系上海市社科项目“大数据时代隐私焦虑与干预机制研究”(2022ZXW001)的研究成果之一。

The Generation Mechanism of Anxiety in AI Face-swapping Technology: Findings of SEM and fsQCA

XIE Xingzheng1, DUAN Qiuting2   

  1. 1. Journalism School, Fudan University, Shanghai, 200433;
    2.Journalism and Communication School, Shanghai University, Shanghai, 200444
  • Online:2024-09-10 Published:2024-11-03
  • Contact: Correspondence should be addressed to DUAN Qiuting, Email:pandaqiu913@foxmail.com, ORCID:0000-0003-3457-7927
  • Supported by:
    This is an outcome of the project "Research on Privacy Anxiety and Intervention Mechanism in Big Data Era"(2022ZXW001)supported by a grant from Social Science Research Program of Shanghai.

摘要: [目的/意义]以AI换脸技术所引发的用户焦虑为切入点,基于社会生态系统理论构建了AI换脸技术焦虑生成机制研究模型,为推动人工智能技术普及提供思路。[研究设计/方法]采用结构方程模型分析(SEM)和模糊集定性比较分析(fsQCA)结合的方法,对500份网络问卷数据进行分析,检验了神经质、个人创新性和负面口碑对AI换脸技术焦虑的影响机制。[结论/发现] SEM结果证实了神经质和负面口碑正向影响AI换脸技术焦虑,但个人创新性则对AI换脸技术焦虑无显著影响,且仅有感知侵入性在两条路径中发挥中介作用;fsQCA结果显示,侵入敏感型和侵入脱敏型两类构型会触发AI换脸技术焦虑的生成。[创新/价值]突破既有用户认知及能力不足引发技术焦虑的研究思路,聚焦于用户对人工智能技术的心理感知要素,验证了微观因素和中观因素对于AI换脸技术焦虑的作用。

关键词: 技术焦虑, AI换脸技术, 感知侵入性, 感知真实性

Abstract: [Purpose/Significance] Grounded on the theory of social ecosystem, this study explores the generation mechanism of AI face-swapping technology anxiety, which aims to provide ideas for promoting the popularization of AI technology. [Design/Methodology] A combined approach of structural equation modeling(SEM)and fuzzy-set qualitative comparative analysis(fsQCA)was employed to examine the effects of neuroticism and individual innovativeness, negative word-of-mouth on AI face-swapping technology anxiety by analyzing 500 online questionnaire data. [Findings/Conclusion] The SEM results show that neuroticism and negative word-of-mouth have a positive impact on AI face-swapping technology anxiety. However, individual innovation has no significant effect on AI face-swapping technology anxiety and only perceived invasiveness plays a mediating role in the two paths. Furthermore, the fsQCA results illustrate that invasive sensitive and invasive insensitive configurations can trigger the generation of anxiety related to AI face-swapping technology. [Originality/Value] Differing from traditional research approaches that attribute technological anxiety to user cognition or skill deficiencies, this study delves into users' psychological perceptions of artificial intelligence technology and verifies the roles played by micro and mesoscopic factors on the generation of AI face-swapping technology anxiety.

Keywords: Technology anxiety, AI face-swapping technology, Perceived invasion, Perceived authenticity