Journal Article FZJ-2016-03386

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Information use by humans during dynamic route choice in virtual crowd evacuations

 ;  ;

2015
Royal Soc. Publ. London

Royal Society Open Science 2(1), 140410 () [10.1098/rsos.140410]

This record in other databases:      

Please use a persistent id in citations:   doi:

Abstract: We conducted a computer-based experiment with over 450 human participants and used a Bayesian model selection approach to explore dynamic exit route choice mechanisms of individuals in simulated crowd evacuations. In contrast to previous work, we explicitly explore the use of time-dependent and time-independent information in decision-making. Our findings suggest that participants tended to base their exit choices on time-dependent information, such as differences in queue lengths and queue speeds at exits rather than on time-independent information, such as differences in exit widths or exit route length. We found weak support for similar decision-making mechanisms under a stress-inducing experimental treatment. However, under this treatment participants were less able or willing to adjust their original exit choice in the course of the evacuation. Our experiment is not a direct test of behaviour in real evacuations, but it does highlight the role different types of information and stress play in real human decision-making in a virtual environment. Our findings may be useful in identifying topics for future study on real human crowd movements or for developing more realistic agent-based simulations.

Classification:

Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2016
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; NCBI Molecular Biology Database
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Workflow collections > Public records
Institute Collections > JSC
Publications database
Open Access

 Record created 2016-06-24, last modified 2021-01-29