Social Influence on Evacuation Behavior in Real and Virtual Environments

Virtual reality (VR) is a promising tool to study evacuation behavior as it allows experimentally controlled, safe simulation of otherwise dangerous situations. However, validation studies comparing evacuation behavior in real and virtual environments are still scarce. We compare the decision to evacuate in response to a fire alarm in matched physical and virtual environments. 150 participants were tested individually in a one-trial experiment in one of three conditions. In the Control condition, the fire alarm sounded while the participant performed a bogus perceptual matching task. In the Passive bystander condition, the participant performed the task together with a confederate who ignored the fire alarm. In the Active bystander condition, the confederate left the room when the fire alarm went off. Half of the participants in each condition experienced the scenario in the real laboratory, and the other half in a matched virtual environment with a virtual bystander, presented in a head-mounted display. The active bystander group was more likely to evacuate, and the passive bystander group less likely to evacuate, than the control group. This pattern of social influence was observed in both the real and virtual environments, although the overall response to the virtual alarm was reduced; positive influence was comparable, whereas negative influence was weaker in VR. We found no reliable gender effects for the participant or the bystander. These findings extend the bystander effect to the decision to evacuate, revealing a positive as well as the previous negative social influence. The results support the ecological validity of VR as a research tool to study evacuation behavior in emergency situations, with the caveat that effect sizes may be smaller in VR.

[1]  Max T Kinateder,et al.  Risk perception in fire evacuation behavior revisited: definitions, related concepts, and empirical evidence , 2015, Fire science reviews.

[2]  Niko A. Busch,et al.  A Pool of Pairs of Related Objects (POPORO) for Investigating Visual Semantic Integration: Behavioral and Electrophysiological Validation , 2012, Brain Topography.

[3]  José Luis Borbinha,et al.  Creating Awareness of Emergency Departments Healthcare Values Using a Serious Game , 2013, EC-TEL.

[4]  Mathias Müller,et al.  Human behaviour in severe tunnel accidents: Effects of information and behavioural training , 2013 .

[5]  Enrico Ronchi,et al.  Social influence on route choice in a virtual reality tunnel fire , 2014 .

[6]  Thomas J Triggs,et al.  Driving simulator validation for speed research. , 2002, Accident; analysis and prevention.

[7]  B. Latané,et al.  Group inhibition of bystander intervention in emergencies. , 1968, Journal of personality and social psychology.

[8]  Thomas W. Schubert The sense of presence in virtual environments , 2003 .

[9]  Bauke de Vries,et al.  Way finding during fire evacuation; an analysis of unannounced fire drills in a hotel at night , 2010 .

[10]  Jeremy N. Bailenson,et al.  How Immersive Is Enough? A Meta-Analysis of the Effect of Immersive Technology on User Presence , 2016 .

[11]  Jan Theeuwes,et al.  Driving Simulator Validity: Some Considerations , 1996 .

[12]  L Gamberini,et al.  Responding to a fire emergency in a virtual environment: different patterns of action for different situations. , 2003, Ergonomics.

[13]  Bob Edwards,et al.  Gender and Evacuation: A Closer Look at Why Women are More Likely to Evacuate for Hurricanes , 2002 .

[14]  Lori Peek,et al.  Gender and Disaster: Foundations and Directions , 2007 .

[15]  Enrico Ronchi,et al.  Virtual reality for fire evacuation research , 2014, 2014 Federated Conference on Computer Science and Information Systems.

[16]  Daniel Nilsson,et al.  Evacuation experiments in a virtual reality high‐rise building: exit choice and waiting time for evacuation elevators , 2016 .

[17]  Max Kinateder,et al.  Social influence in a virtual tunnel fire--influence of conflicting information on evacuation behavior. , 2014, Applied ergonomics.

[18]  Dennis S. Mileti,et al.  Modeling Pre-Evacuation Delay by Occupants in World Trade Center Towers 1 and 2 on September 11, 2001 , 2009 .

[19]  Edwin R. Galea,et al.  Response Phase Behaviours and Response Time Predictors of the 9/11 World Trade Center Evacuation , 2013 .

[20]  M. Tarr,et al.  Virtual reality in behavioral neuroscience and beyond , 2002, Nature Neuroscience.

[21]  Edwin R. Galea,et al.  The UK 9/11 evacuation study: Analysis of survivors’ recognition and response phase in WTC1 , 2010 .

[22]  Luca Chittaro,et al.  Psychological response to an emergency in virtual reality: Effects of victim ethnicity and emergency type on helping behavior and navigation , 2015, Comput. Hum. Behav..

[23]  Enrico Ronchi,et al.  A Virtual Reality Experiment on Flashing Lights at Emergency Exit Portals for Road Tunnel Evacuation , 2015, Fire Technology.

[24]  Michail D. Kozlov,et al.  Real Behavior in Virtual Environments: Psychology Experiments in a Simple Virtual-Reality Paradigm Using Video Games , 2010, Cyberpsychology Behav. Soc. Netw..

[25]  Heinrich H Bülthoff,et al.  Virtual reality for the psychophysiological assessment of phobic fear: responses during virtual tunnel driving. , 2007, Psychological assessment.

[26]  M. Heene,et al.  The bystander-effect: a meta-analytic review on bystander intervention in dangerous and non-dangerous emergencies. , 2011, Psychological bulletin.

[27]  Ira Helsloot,et al.  First International Conference on Evacuation Modelling and Management Exit choice, (pre-)movement time and (pre-)evacuation behaviour in hotel fire evacuation - Behavioural analysis and validation of the use of serious gaming in experimental research , 2010 .

[28]  M. Slater,et al.  Bystander Responses to a Violent Incident in an Immersive Virtual Environment , 2013, PloS one.