JUŘÍK, Vojtěch, Ondřej UHLÍK, Dajana SNOPKOVÁ, Ondřej KVARDA, Tomáš APELTAUER and Jiří APELTAUER. Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models. Heliyon. Elsevier Ltd, 2023, vol. 9, No 3, p. 1-14. ISSN 2405-8440. Available from: https://dx.doi.org/10.1016/j.heliyon.2023.e14275.
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Basic information
Original name Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models
Authors JUŘÍK, Vojtěch (203 Czech Republic, guarantor, belonging to the institution), Ondřej UHLÍK (203 Czech Republic), Dajana SNOPKOVÁ (703 Slovakia, belonging to the institution), Ondřej KVARDA (203 Czech Republic, belonging to the institution), Tomáš APELTAUER (203 Czech Republic) and Jiří APELTAUER (203 Czech Republic).
Edition Heliyon, Elsevier Ltd, 2023, 2405-8440.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50101 Psychology
Country of publisher Austria
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.000 in 2022
RIV identification code RIV/00216224:14210/23:00130798
Organization unit Faculty of Arts
Doi http://dx.doi.org/10.1016/j.heliyon.2023.e14275
UT WoS 000968590100001
Keywords in English Pathfinder; Virtual reality; Evacuation behavior; Agent modeling; Indoor navigation; Evacuation time
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Zuzana Matulíková, učo 405304. Changed: 3/3/2024 21:49.
Abstract
Agent-based evacuation modeling represents an effective tool for making predictions about evacuation aspects of buildings such as evacuation times, congestions, and maximum safe building capacity. Collection of real behavioral data for calibrating agent-based evacuation models is time-consuming, costly, and completely impossible in the case of buildings in the design phase, where predictions about evacuation behavior are especially needed. In recent years evacuation experiments conducted in virtual reality (VR) have been frequently proposed in the literature as an effective tool for collecting data about human behavior. However, empirical studies which would assess validity of VR-based data for such purposes are still rare and considerably lacking in the agent-based evacuation modeling domain. This study explores opportunities that the VR behavioral data may bring for refining outputs of agent evacuation models. To this end, this study employed multiple input settings of agent-based evacuation models (ABEMs), including those based on the data gathered from the VR evacuation experiment that mapped out evacuation behaviors of individuals within the building. Calibration and evaluation of models was based on empirical data gathered from an original evacuation exercise conducted in a real building (N = 35) and its virtual twin (N = 38). This study found that the resulting predictions of single agent models using data collected in the VR environment after proposed corrections have the potential to better predict real-world evacuation behavior while offering desirable variance in the data outputs necessary for practical applications.
Links
TL02000103, research and development projectName: Kognitivní psychologie a prostorová syntaxe ve virtuálním prostředí pro agentní modely
Investor: Technology Agency of the Czech Republic
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