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.

Základní údaje

Originální název

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

Autoři

JUŘÍK, Vojtěch (203 Česká republika, garant, domácí), Ondřej UHLÍK (203 Česká republika), Dajana SNOPKOVÁ (703 Slovensko, domácí), Ondřej KVARDA (203 Česká republika, domácí), Tomáš APELTAUER (203 Česká republika) a Jiří APELTAUER (203 Česká republika)

Vydání

Heliyon, Elsevier Ltd, 2023, 2405-8440

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50101 Psychology

Stát vydavatele

Rakousko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 4.000 v roce 2022

Kód RIV

RIV/00216224:14210/23:00130798

Organizační jednotka

Filozofická fakulta

DOI

http://dx.doi.org/10.1016/j.heliyon.2023.e14275

UT WoS

000968590100001

Klíčová slova anglicky

Pathfinder; Virtual reality; Evacuation behavior; Agent modeling; Indoor navigation; Evacuation time

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 3. 3. 2024 21:49, Mgr. Zuzana Matulíková

Anotace

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.

Návaznosti

TL02000103, projekt VaV

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

Investor: Technologická agentura ČR, Kognitivní psychologie a prostorová syntaxe ve virtuálním prostředí pro agentní modely

Citovat

JUŘÍK, Vojtěch, Ondřej UHLÍK, Dajana SNOPKOVÁ, Ondřej KVARDA, Tomáš APELTAUER a Jiří APELTAUER. Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models. Heliyon. Elsevier Ltd, 2023, roč. 9, č. 3, s. 1-14. ISSN 2405-8440. Dostupné z: 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 a Jiří APELTAUER. Analysis of the use of behavioral data from virtual reality for calibration of agent-based evacuation models. \textit{Heliyon}. Elsevier Ltd, 2023, roč.~9, č.~3, s.~1-14. ISSN~2405-8440. Dostupné z: https://dx.doi.org/10.1016/j.heliyon.2023.e14275.

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