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

dc.contributor.author Du, Jing
dc.contributor.author Wang, Qi
dc.contributor.author Lin, Yingzi
dc.contributor.author Ahn, Changbum
dc.date.accessioned 2019-01-02T23:59:10Z
dc.date.available 2019-01-02T23:59:10Z
dc.date.issued 2019-01-08
dc.description.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.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2019.240
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/59638
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Smart City Digital Twins
dc.subject Decision Analytics, Mobile Services, and Service Science
dc.subject Virtual Reality, Wayfinding, Emergency Response, Cognitive Load
dc.title Personalize Wayfinding Information for Fire Responders based on Virtual Reality Training Data
dc.type Conference Paper
dc.type.dcmi Text
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