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Voice of artifacts: Evaluating user preferences for artifact voice in VR museums

  • Bingqing Chen
  • , Wenqi Chu
  • , Xubo Yang
  • , Yue Li*
  • *Corresponding author for this work
  • Xi'an Jiaotong-Liverpool University
  • Shanghai Jiao Tong University

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Voice is a powerful medium for conveying personality, emotion, and social presence, yet its role in cultural contexts such as virtual museums remains underexplored. While prior research in virtual reality (VR) has focused on ambient soundscapes or system-driven narration, little is known about what kinds of artifact voices users actually prefer, or if customized voices influence their experience. In this study, we designed a virtual museum and examined user perceptions of three types of voices for artifact chatbots, including a neutral synthetic voice (default), a socially relatable voice (familiar), and a user-customized voice with adjustable elements (customized). Through a within-subjects experiment, we measured user experience with established scales and a semi-structured interview. Results showed a strong user preference for the customized voice, which significantly outperformed the other two conditions. These findings suggest that users not only expect artifacts to speak, but also prefer to have control over the voices, which can enhance their experience and engagement. Our findings provide empirical evidence for the importance of voice customization in virtual museums and lay the groundwork for future design of interactive, user-centered sound and vocal experiences in VR environments.

Original languageEnglish
Article number104473
JournalComputers and Graphics
Volume133
DOIs
Publication statusPublished - Dec 2025

Keywords

  • Interactive vocal experiences
  • Museum chatbots
  • Text-to-Speech Models (TTS)
  • User preferences
  • Virtual museum

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