Correlation between subjective driver state measures and psychophysiological and vehicular data in simulated driving

Advanced driver assistance systems require better knowledge of the driver's state. This would allow for adapting driving support functions, e.g. adaptive automation. To detect the emotional and cognitive state of the driver, it is necessary to know which signals contain accurate information abo...

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Published in2016 IEEE Intelligent Vehicles Symposium (IV) pp. 1380 - 1385
Main Authors Schmidt, Elisabeth, Decke, Ralf, Rasshofer, Ralph
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2016
Subjects
Fatigue
Heart rate variability
Physiology
Sleep
Stress
Vehicles
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Abstract Advanced driver assistance systems require better knowledge of the driver's state. This would allow for adapting driving support functions, e.g. adaptive automation. To detect the emotional and cognitive state of the driver, it is necessary to know which signals contain accurate information about the state. In this paper the results of a driving simulator study, in which different emotional and cognitive states were induced in 46 subjects via traffic scenarios, are presented. In the study, psychophysiological and vehicular data was measured in addition to subjective state estimations of the subjects. A correlation analysis confirmed that physiological data can potentially predict subjective driver states.
AbstractList Advanced driver assistance systems require better knowledge of the driver's state. This would allow for adapting driving support functions, e.g. adaptive automation. To detect the emotional and cognitive state of the driver, it is necessary to know which signals contain accurate information about the state. In this paper the results of a driving simulator study, in which different emotional and cognitive states were induced in 46 subjects via traffic scenarios, are presented. In the study, psychophysiological and vehicular data was measured in addition to subjective state estimations of the subjects. A correlation analysis confirmed that physiological data can potentially predict subjective driver states.
Author Schmidt, Elisabeth
Rasshofer, Ralph
Decke, Ralf
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  organization: BMW AG, 80788 Munich, Germany
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Snippet Advanced driver assistance systems require better knowledge of the driver's state. This would allow for adapting driving support functions, e.g. adaptive...
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SubjectTerms Fatigue
Heart rate variability
Physiology
Sleep
Stress
Vehicles
Title Correlation between subjective driver state measures and psychophysiological and vehicular data in simulated driving
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