Literature DB >> 26360218

Assessments of risky driving: a Go/No-Go simulator driving task to evaluate risky decision-making and associated behavioral patterns.

Yutao Ba1, Wei Zhang2, Gavriel Salvendy3, Andy S K Cheng4, Petya Ventsislavova5.   

Abstract

This study sought to develop and validate a Go/No-Go Simulator Driving Task (G/NG-SDT) to evaluate driver risky decision-making and associated behavioral assessments at a situation-specific level. Eighty-four participants were instructed to complete a route in as short time as possible, but avoiding any violations or crashes. To achieve this aim, they had to decide to go or wait in the dilemma scenes, paired with the baseline scenes in several scenarios. High-risk drivers with more Go decisions demonstrated more violations, in both simulator tasks and real road driving, as well as higher scores of Driving Behavior Questionnaire (DBQ) violations and more Balloon Analogue Risk Task (BART) pumps. These high-risk drivers also showed distinguishable behavioral patterns in simulator driving, moderated by the specific driving situations (e.g. scenario and scene). Several behavior assessments were consistently distinguishable in all tested situations, qualified as robust indictors to predict risk-taking in more general driving situations.
Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Entities:  

Keywords:  Behavioral patterns; Decision-making; Risky driving; Simulator

Mesh:

Year:  2015        PMID: 26360218     DOI: 10.1016/j.apergo.2015.07.020

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  5 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

2.  Regional Gray Matter Volume Identifies High Risk of Unsafe Driving in Healthy Older People.

Authors:  Yasuharu Yamamoto; Bun Yamagata; Jinichi Hirano; Ryo Ueda; Hiroshi Yoshitake; Kazuno Negishi; Mika Yamagishi; Mariko Kimura; Kei Kamiya; Motoki Shino; Masaru Mimura
Journal:  Front Aging Neurosci       Date:  2020-12-03       Impact factor: 5.750

3.  Predicting driving speed from psychological metrics in a virtual reality car driving simulation.

Authors:  Uijong Ju; John Williamson; Christian Wallraven
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

4.  Transcranial Alternating Current Stimulation Modulates Risky Decision Making in a Frequency-Controlled Experiment.

Authors:  Zachary Yaple; Mario Martinez-Saito; Bhuvanesh Awasthi; Matteo Feurra; Anna Shestakova; Vasily Klucharev
Journal:  eNeuro       Date:  2017-12-11

5.  Risky Decision-Making and Hazard Prediction are Negatively Related and Could Be Assessed Independently Using Driving Footage.

Authors:  Candida Castro; Petya Ventsislavova; Pedro Garcia-Fernandez; David Crundall
Journal:  Psychol Res Behav Manag       Date:  2021-06-24
  5 in total

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