AI换脸直播对消费者行为的影响机制与治理路径研究
A Study on the Influence Mechanism of AI Face-Swapping Live Streaming on Consumer Behavior and Its Governance Path
摘要: AI换脸技术在直播电商领域的深度应用,在赋能行业创新的同时,也因技术滥用引发了一系列消费者权益保护问题。本文基于消费者行为理论,系统探讨AI换脸直播对消费者行为的影响机制与治理路径。研究发现,AI换脸直播通过认知路径、情感路径与信任路径三条机制影响消费者行为:认知路径表现为信息加工与信任建构的断裂,使消费者面临身份不确定性困境与信任真空状态;情感路径呈现情绪唤起与情感欺骗的双重效应,消费者在情感沉浸与理性警惕之间经历动态博弈;信任路径表现为真实性感知与可信度评估的错位,消费者可能基于错误线索建立虚假信任。基于机制分析,本文提出技术治理、法律规制、平台自律、消费者赋能四位一体的治理框架,强调以制度信任替代人际信任作为治理转型的核心路径。研究为理解AI技术对电子商务消费者行为的影响提供了理论视角,也为规范AI换脸技术应用、保护消费者权益提供了实践启示。
Abstract: The deep application of AI face-swapping technology in the live streaming e-commerce sector has, while empowering industry innovation, also triggered a series of consumer rights protection issues due to technology misuse. Drawing on consumer behavior theory, this paper systematically explores the influence mechanisms of AI face-swapping live streaming on consumer behavior and the corresponding governance paths. The study finds that AI face-swapping live streaming affects consumer behavior through three mechanisms: the cognitive path, the emotional path, and the trust path. The cognitive path manifests as a disruption in information processing and trust construction, leaving consumers facing a dilemma of identity uncertainty and a state of trust vacuum. The emotional path exhibits a dual effect of emotional arousal and emotional deception, leading consumers to experience a dynamic game between emotional immersion and rational vigilance. The trust path is characterized by a misalignment between authenticity perception and credibility evaluation, potentially causing consumers to form false trust based on erroneous cues. Based on the mechanism analysis, this paper proposes a four-in-one governance framework encompassing technological governance, legal regulation, platform self-discipline, and consumer empowerment, emphasizing the replacement of interpersonal trust with institutional trust as the core pathway for governance transition. This research provides a theoretical perspective for understanding the impact of AI technology on consumer behavior in e-commerce, as well as practical implications for regulating the application of AI face-swapping technology and protecting consumer rights.
文章引用:樊佳琪, 朱迅. AI换脸直播对消费者行为的影响机制与治理路径研究[J]. 电子商务评论, 2026, 15(8): 573-581. https://doi.org/10.12677/ecl.2026.158910

参考文献

[1] Mei, L., Tang, N., Zeng, Z. and Shi, W. (2025) Artificial Intelligence Technology in Live Streaming E-Commerce: Analysis of Driving Factors of Consumer Purchase Decisions. International Journal of Computers Communications & Control, 20, Article No. 6871.
https://doi.org/10.15837/ijccc.2025.1.6871
[2] Niu, B., Yu, X. and Dong, J. (2023) Could AI Livestream Perform Better than KOL in Cross-Border Operations? Transportation Research Part E: Logistics and Transportation Review, 174, Article ID: 103130.
https://doi.org/10.1016/j.tre.2023.103130
[3] 史嘉颖. AI虚拟主播对消费者道德产品购买意愿的影响研究[J]. 现代营销, 2026(9): 16-18.
[4] 周胜利, 徐睿, 陈庭贵, 等. 面向AI换脸诈骗的受骗风险识别研究[J]. 数据分析与知识发现, 2025, 9(11): 1-11.
[5] 戴继诚, 吴佳琪. 当前利用AI换脸技术的犯罪活动及其防范应对[J]. 中国人民公安大学学报(社会科学版), 2025, 41(1): 50-58.
[6] 赵精武. AI换脸侵权之争: 肖像可识别标准的再解释[J]. 社会科学辑刊, 2025(5): 168-176.
[7] Groshev, A., Maltseva, A., Chesakov, D., Kuznetsov, A. and Dimitrov, D. (2022) GHOST—A New Face Swap Approach for Image and Video Domains. IEEE Access, 10, 83452-83462.
https://doi.org/10.1109/access.2022.3196668
[8] 袁海霞, 刘慧, 徐海琴. AI还是真人——旅游产品直播情境中主播类型对用户数字参与行为的影响研究[J]. 营销科学学报, 2026, 6(2): 21-39.
[9] 朱晓琳, 陈思汝, 梅春草. 数字人技术在电商直播领域的应用与发展探究——以京东为例[J]. 新闻研究导刊, 2025, 16(22): 288-292.
[10] Sağkaya Güngör, A. and Ozansoy Çadırcı, T. (2022) Understanding Digital Consumer: A Review, Synthesis, and Future Research Agenda. International Journal of Consumer Studies, 46, 1829-1858.
https://doi.org/10.1111/ijcs.12809
[11] Alsharif, A.H., Salleh, N.Z.M., Al-Zahrani, S.A. and Khraiwish, A. (2022) Consumer Behaviour to Be Considered in Advertising: A Systematic Analysis and Future Agenda. Behavioral Sciences, 12, Article No. 472.
https://doi.org/10.3390/bs12120472
[12] Zollo, L. (2021) The Consumers’ Emotional Dog Learns to Persuade Its Rational Tail: Toward a Social Intuitionist Framework of Ethical Consumption. Journal of Business Ethics, 168, 295-313.
https://doi.org/10.1007/s10551-019-04420-4
[13] Zhong, D., Wu, F., Huang, Z. and Chen, Y. (2025) Navigating the Human-Digital Nexus: Understanding Consumer Intentions with AI Anchors in Live Commerce. Behaviour & Information Technology, 44, 4096-4111.
https://doi.org/10.1080/0144929x.2025.2469655
[14] 王翠翠, 徐静, 尚倩. 电商直播中虚拟主播互动性对消费者购买行为的影响[J]. 经济与管理, 2023, 37(2): 84-92.
[15] Wang, L., He, Y., Huang, N., Liu, D., Guo, X. and Chen, G. (2023) The Role of AI Assistants in Livestream Selling: Evidence from a Randomized Field Experiment. SSRN Electronic Journal.
https://doi.org/10.2139/ssrn.4365103
[16] Gu, Y., Guo, Z. and Hao, J. (2026) Decoding Virtual Streamers: Exploring Emotional and Cognitive Drivers of Consumer Patronage Intentions in Live-Streaming Commerce. Asia Pacific Journal of Marketing and Logistics, 38, 1061-1076.
https://doi.org/10.1108/apjml-02-2025-0238