A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

As driving functions become increasingly automated, motorists run the risk of becoming cognitively removed from the driving process. Psychophysiological measures may provide added value not captured through behavioral or self-report measures alone. This paper provides a selective review of the psych...

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Main Authors: Monika Lohani, Brennan R. Payne, David L. Strayer
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-03-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2019.00057/full
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author Monika Lohani
Brennan R. Payne
David L. Strayer
author_facet Monika Lohani
Brennan R. Payne
David L. Strayer
author_sort Monika Lohani
collection DOAJ
description As driving functions become increasingly automated, motorists run the risk of becoming cognitively removed from the driving process. Psychophysiological measures may provide added value not captured through behavioral or self-report measures alone. This paper provides a selective review of the psychophysiological measures that can be utilized to assess cognitive states in real-world driving environments. First, the importance of psychophysiological measures within the context of traffic safety is discussed. Next, the most commonly used physiology-based indices of cognitive states are considered as potential candidates relevant for driving research. These include: electroencephalography and event-related potentials, optical imaging, heart rate and heart rate variability, blood pressure, skin conductance, electromyography, thermal imaging, and pupillometry. For each of these measures, an overview is provided, followed by a discussion of the methods for measuring it in a driving context. Drawing from recent empirical driving and psychophysiology research, the relative strengths and limitations of each measure are discussed to highlight each measures' unique value. Challenges and recommendations for valid and reliable quantification from lab to (less predictable) real-world driving settings are considered. Finally, we discuss measures that may be better candidates for a near real-time assessment of motorists' cognitive states that can be utilized in applied settings outside the lab. This review synthesizes the literature on in-vehicle psychophysiological measures to advance the development of effective human-machine driving interfaces and driver support systems.
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spelling doaj.art-283e564a2b5b4d6182171b4622d08eed2022-12-21T20:02:00ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612019-03-011310.3389/fnhum.2019.00057392220A Review of Psychophysiological Measures to Assess Cognitive States in Real-World DrivingMonika Lohani0Brennan R. Payne1David L. Strayer2Department of Educational Psychology, University of Utah, Salt Lake City, UT, United StatesDepartment of Psychology, University of Utah, Salt Lake City, UT, United StatesDepartment of Psychology, University of Utah, Salt Lake City, UT, United StatesAs driving functions become increasingly automated, motorists run the risk of becoming cognitively removed from the driving process. Psychophysiological measures may provide added value not captured through behavioral or self-report measures alone. This paper provides a selective review of the psychophysiological measures that can be utilized to assess cognitive states in real-world driving environments. First, the importance of psychophysiological measures within the context of traffic safety is discussed. Next, the most commonly used physiology-based indices of cognitive states are considered as potential candidates relevant for driving research. These include: electroencephalography and event-related potentials, optical imaging, heart rate and heart rate variability, blood pressure, skin conductance, electromyography, thermal imaging, and pupillometry. For each of these measures, an overview is provided, followed by a discussion of the methods for measuring it in a driving context. Drawing from recent empirical driving and psychophysiology research, the relative strengths and limitations of each measure are discussed to highlight each measures' unique value. Challenges and recommendations for valid and reliable quantification from lab to (less predictable) real-world driving settings are considered. Finally, we discuss measures that may be better candidates for a near real-time assessment of motorists' cognitive states that can be utilized in applied settings outside the lab. This review synthesizes the literature on in-vehicle psychophysiological measures to advance the development of effective human-machine driving interfaces and driver support systems.https://www.frontiersin.org/article/10.3389/fnhum.2019.00057/fullpsychophysiologycognitiondrivingtraffic safetyreal-world
spellingShingle Monika Lohani
Brennan R. Payne
David L. Strayer
A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving
Frontiers in Human Neuroscience
psychophysiology
cognition
driving
traffic safety
real-world
title A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving
title_full A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving
title_fullStr A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving
title_full_unstemmed A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving
title_short A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving
title_sort review of psychophysiological measures to assess cognitive states in real world driving
topic psychophysiology
cognition
driving
traffic safety
real-world
url https://www.frontiersin.org/article/10.3389/fnhum.2019.00057/full
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