What Makes a Virtual Celebrity Agent Trustworthy in VR? Exploring the Role of Stylization and Voice

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Authors: Yang Gao, Yangbin Dai, Guangtao Zhang, Honglei Guo, Fariba Mostajeran, Frank Steinicke, Lin Li, Tommi Yu
Cited by: 1
References: 62

Abstract

Recent advances in generative AI have accelerated the deployment of virtual celebrity agents for commercial endorsements. However, little is known about how their visual style and vocal type, especially when these characteristics are generated via advanced AI reconstruction or voice cloning techniques, affect user trust, perceived realism, familiarity, and social presence. We extracted a representative clip of Sheldon Cooper from The Big Bang Theory as a baseline and generated multiple Sheldon virtual agents that varied in visual style (hand-sculpted, AI-reconstructed, or non-stylized) and vocal type (cloned or synthesized). A 3 × 2 within-subjects experiment (N = 30) revealed that visual style significantly affected user trust, perceived realism, familiarity, and social presence, while vocal type affected only perceived realism and familiarity. Comparisons between the virtual agents and the video baseline confirmed that even cutting-edge 3D modeling still differs significantly from authentic video representations. Behavioral data indicate that the relationship between interpersonal-distance variations and trust levels is not a simple linear one. These findings provide actionable guidance for designers leveraging generative AI to create trustworthy virtual avatars or agents and delineate new research avenues for virtual celebrity agents.

Fields of Study & Subjects

Language Metaphor and Cognition Social Robot Interaction and HRI Virtual Reality Applications and Impacts

Publication details

Journal / source
IEEE Transactions on Visualization and Computer Graphics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
32
Issue
5
Pages
3999–4009
Publication date
6 April 2026
Language
EN