Literature DB >> 21726587

Physiological responses to simulated and on-road driving.

Michel J Johnson1, Tammem Chahal, Arne Stinchcombe, Nadia Mullen, Bruce Weaver, Michel Bédard.   

Abstract

Driving simulators have become an increasingly popular tool to study and assess drivers. Physiological measurements not only provide an important index of an individual's presence in the virtual environment, but they also permit us to compare simulated and on-road experiences. However, at this point, few studies examining the ecological validity of simulated driving have included physiological variables. In a first study, we embedded three surprising events into a typical simulated road circuit. The first event consisted of a car pulling out suddenly from the shoulder of the road, while the remaining two events consisted of a green traffic light changing to amber as the driver approached the intersection. We noted statistically significant elevations in the mean heart rate (MHR) response to virtual events of about 4beats per minute (bpm) during the 15s immediately following the events. In a second study, we directly compared heart rate, oxygen consumption (VO(2)), and mean ventilation (MV(E)) responses to similar simulated and on-road drives. The change in physiological variables from baseline to driving was similar between simulated and on-road conditions, and a very strong correlation between simulated and on-road driving values for MV(E) (r=0.90) was observed. MHR and maximum heart rate (HR(max)) were nonetheless significantly higher during on-road drives. These studies suggest that the level of immersion of a fixed base simulator is great enough to elicit presence, and achieve both relative and absolute validity for certain physiological parameters. Nonetheless, the absolute responses between virtual and real world experiences remain different. For both research and evaluation purposes, it is critical that we better understand the impact of the driver's perceived level of risk or difficulty during simulation on their driving behaviour and physiological responses.
Copyright © 2011 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21726587     DOI: 10.1016/j.ijpsycho.2011.06.012

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  8 in total

1.  A novel low-cost solution for driving assessment in individuals with and without disabilities.

Authors:  Jakob Rodseth; Edward P Washabaugh; Ali Al Haddad; Paula Kartje; Denise G Tate; Chandramouli Krishnan
Journal:  Appl Ergon       Date:  2017-07-29       Impact factor: 3.661

Review 2.  Driver Distraction Using Visual-Based Sensors and Algorithms.

Authors:  Alberto Fernández; Rubén Usamentiaga; Juan Luis Carús; Rubén Casado
Journal:  Sensors (Basel)       Date:  2016-10-28       Impact factor: 3.576

3.  Guiding Framework for Driver Assessment Using Driving Simulators.

Authors:  Jennifer L Campos; Michel Bédard; Sherrilene Classen; Jude J Delparte; Deborah A Hebert; Nellemarie Hyde; Geoff Law; Gary Naglie; Stephanie Yung
Journal:  Front Psychol       Date:  2017-08-22

4.  Transformative learning experience for physical therapy students through a community health promotion project for mothers of hearing-challenged children.

Authors:  Masami Yokogawa; Masako Notoya; Sachiko Madokoro
Journal:  J Phys Ther Sci       Date:  2017-04-20

5.  Efficacy of a Neurofeedback Training on Attention and Driving Performance: Physiological and Behavioral Measures.

Authors:  Michela Balconi; Davide Crivelli; Laura Angioletti
Journal:  Front Neurosci       Date:  2019-09-18       Impact factor: 4.677

6.  Detecting driver stress and hazard anticipation using real-time cardiac measurement: A simulator study.

Authors:  Laora Kerautret; Stephanie Dabic; Jordan Navarro
Journal:  Brain Behav       Date:  2022-01-28       Impact factor: 2.708

Review 7.  Detecting driver drowsiness based on sensors: a review.

Authors:  Arun Sahayadhas; Kenneth Sundaraj; Murugappan Murugappan
Journal:  Sensors (Basel)       Date:  2012-12-07       Impact factor: 3.576

8.  Can a novel web-based computer test predict poor simulated driving performance? a pilot study with healthy and cognitive-impaired participants.

Authors:  Tobias Nef; René M Müri; Rahel Bieri; Michael Jäger; Nora Bethencourt; Ioannis Tarnanas; Urs P Mosimann
Journal:  J Med Internet Res       Date:  2013-10-21       Impact factor: 5.428

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.