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CDT-GEM: Conversational Digital Twin for Geographic Emergency Management

In: Extended Reality and Metaverse

Author

Listed:
  • Seungyoub Ssin

    (KI-ITC ARRC)

  • Junseong Bang

    (ETRI)

  • Woontack Woo

    (KI-ITC ARRC
    KAIST)

Abstract

The endless evolution of cities aiming for smartization is combined with modern ICT (Information & Communication Technology) techniques to extract and analyze meaningful data generated throughout various places in the city and realize advanced visualization. However, despite these people's efforts, when an emergency or a disaster suddenly occurs in a city area, the sustain of tools that support intelligent responses to minimize damage is still lacking. Many urban researchers are in the trend of designing urban management tools that combine digital twin technology with XR and voice recognition AI technology that can link with multiple IoT (Internet of Things) and integrate and manage extracted sensing data. In this paper, we introduce the CDT-GEM. This digital twin system can inform the manager of the situation where the problem occurs when a crisis occurs and how citizens can communicate with the emergency management system in real-time.

Suggested Citation

  • Seungyoub Ssin & Junseong Bang & Woontack Woo, 2023. "CDT-GEM: Conversational Digital Twin for Geographic Emergency Management," Springer Proceedings in Business and Economics, in: Timothy Jung & M. Claudia tom Dieck & Sandra Maria Correia Loureiro (ed.), Extended Reality and Metaverse, pages 134-138, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-25390-4_12
    DOI: 10.1007/978-3-031-25390-4_12
    as

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