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A Study on the Development of an Open-Stage Metaverse Specialized Mall Using Motion Recognition Technology

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(3), pp.67~74
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : February 26, 2025
  • Accepted : March 24, 2025
  • Published : March 31, 2025

Jae-Young Moon 1

1동서대학교

Accredited

ABSTRACT

The purpose of his study is to provide a differentiated shopping experience in an open-stage metaverse mall using motion recognition technology. The findings confirmed that motion recognition enhances user immersion and provides a more intuitive shopping experience. Additionally, enhancing seller support functionalities improved the efficiency of virtual store operations. However, the study has limitations. First, the number of participants was small, and large-scale performance testing was insufficient. Second, motion recognition accuracy is affected by environmental factors (e.g., lighting, background), requiring improvements for real-world use. Third, the system is currently platform-dependent (Unity-based), necessitating further research on cross-platform compatibility. Future research should explore motion capture and wearable sensors to improve accuracy, integrate AI-driven personalized services, and enhance virtual store navigation with interactive experiences for continuous innovation in metaverse shopping environments.

Citation status

* References for papers published after 2023 are currently being built.