Incorporating human behavior in VR compartmental simulation models

R. Skull, W. Kitchen, D. Phoenix, C. Mackenzie, N. Allison, R. Hunt, L. Stella

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

A novel strand of Coronavirus has affected a large number of individuals worldwide, putting a considerable stress to national health services and causing many deaths. Many control measures have been put in place across different countries with the aim to save lives at the cost of personal freedom. Computer simulations have played a role in providing policy makers with critical information about the virus. However, despite their importance in applied epidemiology, general simulation models, are difficult to validate because of how hard it is to predict and model human behavior. To this end, we propose a different approach by developing a virtual reality (VR) multi-agent virus propagation system where a group of agents interact with the user in a university setting. We created a VR digital twin replica of a building in the University of Derby campus, to enhance the user’s immersion in our study. Our work integrates human behavior seamlessly in a simulation model and we believe that this approach is crucial to have a deeper understanding on how to control the spread of a virus such as COVID-19.
Original languageEnglish
Title of host publicationVRST '21
Subtitle of host publicationProceedings of the 27th ACM Symposium on Virtual Reality Software and Technology
EditorsYuichi Itoh, Kazuki Takashima, Parinya Punpongsanon, Misha Sra, Kazuyuki Fujita, Shigeo Yoshida, Tham Piumsomboon
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Number of pages3
ISBN (Print)9781450390927
DOIs
Publication statusPublished - 8 Dec 2021

Publication series

NameACM proceedings
PublisherAssociation for Computing Machinery (ACM)
ISSN (Print)2168-4081

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