Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59638

Personalize Wayfinding Information for Fire Responders based on Virtual Reality Training Data

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Title:Personalize Wayfinding Information for Fire Responders based on Virtual Reality Training Data
Authors:Du, Jing
Wang, Qi
Lin, Yingzi
Ahn, Changbum
Keywords:Smart City Digital Twins
Decision Analytics, Mobile Services, and Service Science
Virtual Reality, Wayfinding, Emergency Response, Cognitive Load
Date Issued:08 Jan 2019
Abstract:Modern buildings with increasing complexity can cause serious difficulties for first responders in emergency wayfinding. While real-time data collection and information analytics become easier in indoor wayfinding, a new challenge has arisen: cognitive overload due to information redundancy. Standardized and universal spatial information systems are still widely used in emergency wayfinding, ignoring first responders’ individual difference in information intake. This paper proposes and tests the theoretical framework of a spatial information systems for first responders, which reflects their individual difference in information preference and helps reduce the cognitive load in line of duty. The proposed method includes the use of Virtual Reality (VR) experiments to simulate real world buildings, and the modeling of first responders’ reactions to different information formats and contents in simulated wayfinding tasks. This work is expected to set a foundation of future spatial information system that correctly and effectively responds to first responders’ needs.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/59638
ISBN:978-0-9981331-2-6
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Smart City Digital Twins


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