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

  • Yutao Ba
  • , Wei Zhang
  • , Gavriel Salvendy
  • , Andy S.K. Cheng
  • , Petya Ventsislavova

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

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.

Original languageEnglish
Article number2084
Pages (from-to)265-274
Number of pages10
JournalApplied ergonomics
Volume52
DOIs
Publication statusPublished - 1 Jan 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Elsevier Ltd and The Ergonomics Society.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Behavioral patterns
  • Decision-making
  • Risky driving
  • Simulator

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