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Design of Nonverbal Symbolic Visual Cues for VR Social Interaction Based on AI Semantic Recognition

  • Yulu Lu
  • , Zhikai Wen
  • , Xinyu Su
  • , Yong Hu*
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study introduces a nonverbal symbolic visual feedback system driven by AI semantic recognition, aimed at enhancing emotional expression and interaction understanding in virtual reality social environments. We designed visual symbols for ten representative social behaviors. The system can recognize the type and intensity of social intent from users’ natural speech in real time and automatically trigger corresponding 3D visual feedback. Experimental results show that the system significantly improves the user experience in remote social interaction.

Original languageEnglish
Title of host publicationProceedings - SIGGRAPH Asia 2025 Posters, SA 2025
EditorsStephen N. Spencer, Taku Komura, Junyong Noh
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400721342
DOIs
StatePublished - 14 Dec 2025
Event2025 SIGGRAPH Asia 2025 Posters, SA 2025 - Hong Kong, Hong Kong SAR
Duration: 15 Dec 202518 Dec 2025

Publication series

NameProceedings - SIGGRAPH Asia 2025 Posters, SA 2025

Conference

Conference2025 SIGGRAPH Asia 2025 Posters, SA 2025
Country/TerritoryHong Kong SAR
CityHong Kong
Period15/12/2518/12/25

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