Near-infrared Spectroscopy as a Tool for Driving Research

Tao Liu (Corresponding author), Matthew Pelowski, Changle Pang, Jianfeng Cai

Publications: Contribution to journalArticlePeer Reviewed

Abstract

Driving a motor vehicle requires various cognitive functions to process surrounding information, to guide appropriate actions, and especially to respond to or integrate with numerous contextual and perceptual hindrances or risks. It is, thus, imperative to examine driving performance and road safety from a perspective of cognitive neuroscience, which considers both the behaviour and the functioning of the brain. However, because of technical limitations of current brain imaging approaches, studies have primarily adopted driving games or simulators to present participants with simulated driving environments that may have less ecological validity. Near-infrared spectroscopy (NIRS) is a relatively new, non-invasive brain-imaging technique allowing measurement of brain activations in more realistic settings, even within real motor vehicles. This study reviews current NIRS driving research and explores NIRS' potential as a new tool to examine driving behaviour, along with various risk factors in natural situations, promoting our understanding about neural mechanisms of driving safety.

Practitioner Summary: Driving a vehicle is dependent on a range of neurocognitive processing abilities. Near-infrared spectroscopy (NIRS) is a non-invasive brain-imaging technique allowing measurement of brain activation even in on-road studies within real motor vehicles. This study reviews current NIRS driving research and explores the potential of NIRS as a new tool to examine driving behaviour.

Original languageEnglish
Pages (from-to)368-379
Number of pages12
JournalErgonomics
Volume59
Issue number3
DOIs
Publication statusPublished - 2016

Austrian Fields of Science 2012

  • 501014 Neuropsychology
  • 501025 Traffic psychology

Keywords

  • Driving
  • near-infrared spectroscopy
  • road safety
  • brain imaging
  • ecological validity
  • ATTENTION
  • MENTAL WORKLOAD
  • METAANALYSIS
  • FATIGUE
  • PERFORMANCE
  • PREFRONTAL CORTEX
  • ELECTROENCEPHALOGRAM
  • near-infrared spectroscopy (NIRS)
  • DRIVER DISTRACTION
  • EXPERIENCE
  • BRAIN ACTIVATION

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