Evaluating the Effects of Realistic Communication Disruptions in VR Training for Aerial Firefighting

Aerial firefighting takes place in stressful environments where decision making and communication are paramount, and skills need to be practiced and trained regularly. An experiment was performed to test the effects of disrupting the communications ability of the users on their stress levels in a noisy environment. The goal of this research is to investigate how realistic disruption of communication systems can be simulated in a virtual environment and to what extent they induce stress. We found that aerial firefighting experts maintained a better Heart Rate Variability (HRV) during disruptions than novices. Experts showed better ability to manage stress based on the change in HRV during the experiment. Our main finding is that communication disruptions in virtual reality (e.g., broken transmissions) significantly impacted the level of stress experienced by participants.

[1]  Robert W. Lindeman,et al.  Development of a Multi-Sensory Virtual Reality Training Simulator for Airborne Firefighters Supervising Aerial Wildfire Suppression , 2018, 2018 IEEE Workshop on Augmented and Virtual Realities for Good (VAR4Good).

[2]  Bojan Tati,et al.  ANALYSIS OF NOISE LEVEL GENERATED BY HELICOPTERS WITH VARIOUS NUMBERS OF BLADES IN THE MAIN ROTOR , 2012 .

[3]  Joy C. MacDermid,et al.  Psychometric properties of the Zephyr bioharness device: a systematic review , 2018, BMC Sports Science, Medicine and Rehabilitation.

[4]  J. Curtis Varone Fireground Radio Communications and Firefighter Safety , 1996 .

[5]  A. R. Panganiban,et al.  PROFILING TASK STRESS WITH THE DUNDEE STRESS STATE QUESTIONNAIRE , 2013 .

[6]  J. Sexton,et al.  Analyzing cockpit communications: the links between language, performance, error, and workload. , 2000, Human performance in extreme environments : the journal of the Society for Human Performance in Extreme Environments.

[7]  Sexton Jb,et al.  Analyzing cockpit communications: the links between language, performance, error, and workload. , 2000 .

[8]  Christopher K. McClernon Stress Effects on Transfer from Virtual Environment Flight Training to Stressful Flight Environments , 2009 .

[9]  Holger Regenbrecht,et al.  The Experience of Presence: Factor Analytic Insights , 2001, Presence: Teleoperators & Virtual Environments.

[10]  Denise L Smith,et al.  Evaluation of a Wearable Physiological Status Monitor During Simulated Fire Fighting Activities , 2014, Journal of occupational and environmental hygiene.

[11]  Robert L. Wears,et al.  Information flow during crisis management: challenges to coordination in the emergency operations center , 2007, Cognition, Technology & Work.

[12]  Dong Pyo Jang,et al.  Physiological Monitoring as an Objective Tool in Virtual Reality Therapy , 2002, Cyberpsychology Behav. Soc. Netw..

[13]  D L Smith,et al.  Perceptual and physiological heat strain: Examination in firefighters in laboratory- and field-based studies , 2009, Ergonomics.

[14]  Shafagh Jafer,et al.  Recommendations for next generation air traffic control training , 2017, 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC).

[15]  Taija M M Lahtinen,et al.  Radio speech communication problems reported in a survey of military pilots. , 2010, Aviation, space, and environmental medicine.

[16]  Richard H. Mogford,et al.  Mental Models and Situation Awareness in Air Traffic Control , 1997 .