Real vs. Virtual: How the Uncanny Valley Weakens the Persuasive Power of Celebrity AI Avatar Presenters—An Experimental Study Based on Live Streaming E-Commerce

This study focuses on the transfer of the celebrity effect to live-stream e-commerce. It examines how the effectiveness of persuasion and the underlying mechanisms change when celebrities shift from live human appearances to AI avatars. Integrating Uncanny Valley Theory and Source Credibility Theory, and conducting a PLS-SEM analysis on 391 valid questionnaires collected from October to November 2025, reveals that, compared to live streaming by real celebrities, virtual streamers using celebrity avatars trigger significantly higher levels of perceived eeriness among consumers. This perceived eeriness systematically weakens audience evaluations of the streamer’s credibility, attractiveness, and expertise, ultimately leading to a decline in purchase intention. The findings suggest that, when the celebrity effect relies on an AI avatar, the persuasive pathway is negatively moderated by technological mediation. Among the dimensions of source credibility, trustworthiness is most directly eroded, while expertise remains the core factor driving purchase decisions. From a human-versus-avatar perspective, this study reveals the key psychological mechanisms underlying the digital migration of the celebrity effect. The results have important theoretical implications for understanding the boundaries of source credibility in digital communication and offer practical insights into the development and optimisation of AI avatar endorsement strategies in live-stream e-commerce.

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Publication Details

Journal
Journal of theoretical and applied electronic commerce research
Published
2026-04-30
DOI
https://doi.org/10.3390/jtaer21050141
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

Real vs. Virtual: How the Uncanny Valley Weakens the Persuasive Power of Celebrity AI Avatar Presenters—An Experimental Study Based on Live Streaming E-Commerce

X J Li, Xiaoliang Long, Dan Wei
Journal of theoretical and applied electronic commerce research
AI in Service Interactions
article

Real vs. Virtual: How the Uncanny Valley Weakens the Persuasive Power of Celebrity AI Avatar Presenters—An Experimental Study Based on Live Streaming E-Commerce

X J Li, Xiaoliang Long, Dan Wei
article en

Abstract

This study focuses on the transfer of the celebrity effect to live-stream e-commerce. It examines how the effectiveness of persuasion and the underlying mechanisms change when celebrities shift from live human appearances to AI avatars. Integrating Uncanny Valley Theory and Source Credibility Theory, and conducting a PLS-SEM analysis on 391 valid questionnaires collected from October to November 2025, reveals that, compared to live streaming by real celebrities, virtual streamers using celebrity avatars trigger significantly higher levels of perceived eeriness among consumers. This perceived eeriness systematically weakens audience evaluations of the streamer’s credibility, attractiveness, and expertise, ultimately leading to a decline in purchase intention. The findings suggest that, when the celebrity effect relies on an AI avatar, the persuasive pathway is negatively moderated by technological mediation. Among the dimensions of source credibility, trustworthiness is most directly eroded, while expertise remains the core factor driving purchase decisions. From a human-versus-avatar perspective, this study reveals the key psychological mechanisms underlying the digital migration of the celebrity effect. The results have important theoretical implications for understanding the boundaries of source credibility in digital communication and offer practical insights into the development and optimisation of AI avatar endorsement strategies in live-stream e-commerce.

Journal of theoretical and applied electronic commerce researchVol. 21(5)
Shanghai University (CN), Shanghai International Studies University (CN)
Reduced inequalities
Openalex Percentile: Top 7%
AI in Service Interactions
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