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Building a Metaverse GIS based on Spatial Information and User Perception

Building a GIS Framework for Real-Space Metaverse: AI-Based Prediction of Spatial Information Use and Efficient Maintenance
실공간 기반 메타버스의 GIS 구축방안: AI 기반의 공간정보 사용 예측 및 효율적 유지보수 방법 개발 연구
2022/08 → 2023/07 한국국토정보공사 (LX)

Project Introduction

This project addresses the challenge of managing spatial information in Digital Twin (DT)–based metaverse environments. By integrating real-world spatial information with user behavioral data collected in virtual environments, we developed a framework for efficient spatial management and personalized user experiences.
Using a large-scale Minecraft testbed of Daejeon city, we collected more than 750,000 user logs and survey responses from 232 participants. Based on this dataset, we created methods for graph-based spatial importance analysis and applied Graph Neural Networks (GNNs) to detect communities and predict priority areas for spatial information maintenance.

Achievements

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Established a virtual city testbed (2 km² scale)
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Collected large-scale user log and survey data
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Developed a prototype model for spatial priority prediction
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Produced demo applications and showcased results at domestic/international conferences and journals

Related Videos

Journal Publication

Lee, G. B., Kim, G., Lee, J., Hong, Y., & Lee, J. H. (2024). Perception graph for representing visuospatial behavior in virtual environments: A case study for Daejeon City. Advanced Engineering Informatics, 62, 102594.
www.sciencedirect.com
https://www.sciencedirect.com/science/article/abs/pii/S1474034624002428

Conferences

Lee, G. B., Chang, M., Yun, J. Y., & Lee, J. H. (2023). Spatial Behavior Data in Virtual Conference: Proximity and Network Analysis. In Cultural Space on Metaverse (pp. 133-145). Singapore: Springer Nature Singapore.
Spatial Behavior Data in Virtual Conference: Proximity and Network Ana
Recent advances in virtual environments have extended real-life activities to virtual spaces, thereby generating enormous amounts of data on spatial behaviors. Spatial behaviors in physical spaces have been extensively studied; however, in virtual spaces, it is...
https://link.springer.com/chapter/10.1007/978-981-99-2314-4_8
Lee, G. B., Lee, J., Chang, M., & Lee, J. H. (2023, July). Attention in Virtual Environments: Behavior in Locations Shapes Spatial Connectivity. In International Conference on Human-Computer Interaction (pp. 205-212). Cham: Springer Nature Switzerland.
Attention in Virtual Environments: Behavior in Locations Shapes Spatia
Unlike connections of physical spaces typically observed through movement trajectory, connections of virtual spaces can be observed in high resolution through vision-based trajectory. Studies have explored user movements and their diffusion in virtual environments...
https://link.springer.com/chapter/10.1007/978-3-031-49215-0_25
표현, 이기쁨, 김가령, 이주현, 윤지영, & 이지현. (2023). 가상 컨퍼런스 속 시계열 행동데이터 기반의 동적 커뮤니티 검출: 컨퍼런스 내 사회적 커뮤니티의 발생과 성장. In KCC 2023 (pp. 1413-1415). 한국정보과학회.
가상 컨퍼런스 속 시계열 행동데이터 기반의 동적 커뮤니티 검출: 컨퍼런스 내 사회적 커뮤니티의 발생과 성장 | DBpia
표현, 이기쁨, 김가령, 이주현, 윤지영, 이지현 | 한국정보과학회 학술발표논문집 | 2023.6
https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11488392