Analysis of the use of behavioral data from virtual reality for
calibration of agent-based evacuation models

J 2023

Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models

JUŘÍK, Vojtěch, Ondřej UHLÍK, Dajana SNOPKOVÁ, Ondřej KVARDA, Tomáš APELTAUER et. al.

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50101 Psychology

Country of publisher

Austria

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

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

Abstract

V originále

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 project

Name: Kognitivní psychologie a prostorová syntaxe ve virtuálním prostředí pro agentní modely

Investor: Technology Agency of the Czech Republic

Citovat

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.

@article{2283564,
   author = {Juřík, Vojtěch and Uhlík, Ondřej and Snopková, Dajana and Kvarda, Ondřej and Apeltauer, Tomáš and Apeltauer, Jiří},
   article_number = {3},
   doi = {http://dx.doi.org/10.1016/j.heliyon.2023.e14275},
   keywords = {Pathfinder; Virtual reality; Evacuation behavior; Agent modeling; Indoor navigation; Evacuation time},
   language = {eng},
   issn = {2405-8440},
   journal = {Heliyon},
   title = {Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models},
   url = {https://doi.org/10.1016/j.heliyon.2023.e14275},
   volume = {9},
   year = {2023}
}

TY  - JOUR
ID  - 2283564
AU  - Juřík, Vojtěch - Uhlík, Ondřej - Snopková, Dajana - Kvarda, Ondřej - Apeltauer, Tomáš - Apeltauer, Jiří
PY  - 2023
TI  - Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models
JF  - Heliyon
VL  - 9
IS  - 3
SP  - 1-14
EP  - 1-14
PB  - Elsevier Ltd
SN  - 24058440
KW  - Pathfinder
KW  - Virtual reality
KW  - Evacuation behavior
KW  - Agent modeling
KW  - Indoor navigation
KW  - Evacuation time
UR  - https://doi.org/10.1016/j.heliyon.2023.e14275
N2  - 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.
ER  -

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. \textit{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.

Detailed Information on Publication Record