Delphine Bernardin and Guillaume Giraudet are associated professors of the NSERC/Essilor Chair at the University of Montreal and are both employed by Essilor as research project managers.
#Neurotracker 3d mot simulator
who produces the commercial version of the driving simulator (VS500M) used in this study.
#Neurotracker 3d mot driver
Pierro Hirsch is a road safety researcher and driver training program developer at Virage Simulation Inc. In this capacity, he holds shares in the company. who produce the commercial version of the 3D-MOT program (NeuroTracker) used in this study. The specific roles of these authors are articulated in the 'author contributions’ section.Ĭompeting interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: Jocelyn Faubert is director of the Visual Psychophysics and Perception Laboratory at the University of Montreal and he is the Chief Science Officer of CogniSens Athletics Inc. The funders provided support in the form of salaries for authors DB, GG and PH, but did not have any additional role in the study design, data collection, and analysis, decision to publish, or preparation of the manuscript. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All relevant files are available from the Open Science Framework repository ( ).įunding: This research was supported by the Société de l'assurance automobile Québec/Fonds de recherche Société et culture (2012-OU-146156) ( & ), with continued work funded by Natural Sciences and Engineering Research Council of Canada/Essilor ( & Industrial Research Chair awarded to JF (IRCPJ305729-13). Received: ApAccepted: SeptemPublished: October 10, 2017Ĭopyright: © 2017 Michaels et al. PLoS ONE 12(10):Įditor: Jun Xu, Beihang University, CHINA (2017) Driving simulator scenarios and measures to faithfully evaluate risky driving behavior: A comparative study of different driver age groups. Importantly, future research should continue to investigate the predictive utility of perceptual-cognitive tests in the domain of driving risk assessment.Ĭitation: Michaels J, Chaumillon R, Nguyen-Tri D, Watanabe D, Hirsch P, Bellavance F, et al. Moreover, insights from the present study should inform methodological considerations for future driving simulator research.
#Neurotracker 3d mot drivers
In sum, the present experiment demonstrates that in cases of either extreme high or low task demands, drivers can become overloaded or under aroused and thus task measures may lose sensitivity. Finally, 3D-MOT was demonstrated to be an effective predictor of elevated crash risk as well as decreased naturally-adopted mean driving speed, particularly among older adults. Furthermore, several of the novel driving measures were shown to provide useful, non-redundant information about driving behavior, complementing more established measures. Results indicate moderate scenario complexity as the best suited to highlight well-documented differences in driving ability between age groups and to elicit naturalistic driving behavior. Additionally, to gain a better understanding of individuals’ ability to capture and integrate relevant information in a highly complex visual environment, the participants’ perceptual-cognitive capacity was evaluated using 3-dimensional multiple object tracking (3D-MOT). Participants were tested on three different scenarios varying in mental workload from low to high. A sample of 115 drivers was divided into three age and experience groups: young inexperienced (18–21 years old), adult experienced (25–55 years old) and older adult (70–86 years old). To investigate the links between mental workload, age and risky driving, a cross-sectional study was conducted on a driving simulator using several established and some novel measures of driving ability and scenarios of varying complexity.
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