Paradigm to assess driver distraction in real and virtual environments

Distractions while driving are becoming an increasing problem especially with new technologies used within vehicles. This paper presents a method of exploring drivers' attention and distraction levels based on physiological and driving performance measures. Physiological variables such as electroencephalography (EEG), heart rate variability (HRV) and electromyography (EMG) have been measured in both real and simulated driving. A purpose-built instrumented vehicle was used to capture the car parameters on the real road which contains both straight sections and corners with various speed limits. The real track was replicated as a 3D model within a driving simulator. Key factors of the real track including lane width, shape, length and elevation of the track, and approximation of the surrounding environment were incorporated into the simulated version. Three distraction tasks were performed during driving, along with a baseline driving condition, and this schedule was repeated three times on both the real and simulated track. Factors such as personality, age, and perceptual style were investigated for their influence on maintaining attention and dealing with such distractions. (a) For the covering entry of this conference, please see ITRD abstract no. E217711.

  • Authors:
    • MICHAEL, N
    • DUBAJ, M
    • SCHIER, M
  • Publication Date: 2009-3


  • English

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Filing Info

  • Accession Number: 01143890
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ITRD, ATRI
  • Created Date: Nov 16 2009 12:11PM