SandTouch: Empowering Virtual Sand Art in VR with AI Guidance and Emotional Relief

Long Liu, Junbin Ren, Zeyuan Fan, Chenhui Li, Gaoqi He, Changbo Wang, Yang Gao, Chen Li

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

Abstract

Sand painting is a highly aesthetic and valuable form of art but often constrained by the need for specific equipment and the associated learning curve. To address these challenges, we developed a VR sand painting system, SandTouch, offering an immersive and intuitive sand painting experience that closely mirrors the interaction with physical sand. Leveraging advanced gesture recognition technology, SandTouch allows users to create intricate sand art in a virtual environment, capturing the fine sensations of real sand manipulation along with realistic sound feedback. The integration of AI agent further enhances the experience by intelligently interpreting users' creative intentions based on real-time interactions, offering contextually relevant artistic suggestions. Comprehensive evaluations have demonstrated a significant increase in user engagement and immersion. Furthermore, the realistic sound feedback enhances emotional relief and deepens the painting experience.

Original languageEnglish
Title of host publicationCHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400713941
DOIs
StatePublished - 26 Apr 2025
Event2025 CHI Conference on Human Factors in Computing Systems, CHI 2025 - Yokohama, Japan
Duration: 26 Apr 20251 May 2025

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2025 CHI Conference on Human Factors in Computing Systems, CHI 2025
Country/TerritoryJapan
CityYokohama
Period26/04/251/05/25

Keywords

  • AI-Guidance
  • Emotional Relief
  • Sand Painting
  • Virtual Reality

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