Highlights Impairment in the automobile for drowsy drivers is a serious problem today. Impairment will be a problem for several years into the future. Drowsy drivers’ subjective assessment is less accurate than objective methods. BCI devices that provide EEG data can provide valuable details about drivers’ state.

    Abstract Introduction Impaired driving has resulted in numerous accidents, fatalities, and costly damage. One particularly concerning type of impairment is driver drowsiness. Despite advancements, modern vehicle safety systems remain ineffective at keeping drowsy drivers alert and aware of their state, even temporarily. Until recently the use of user-centric brain-computer interface (BCI) devices to capture electrophysiological data relating to driver drowsiness has been limited. Method: In this study, 25 participants drove on a simulated roadway under drowsy conditions. Results: Neither subjective nor electrophysiological measures differed between individuals who showed overt signs of drowsiness (prolonged eye closure) during the drive. However, the directionality and effect size estimates provided by the BCI device suggested the practicality and feasibility of its future implementation in vehicle safety systems. Practical applications: This research highlights opportunities for future BCI device research for use to assess the state of drowsy drivers in a real-world context.


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    Titel :

    Exploring differences between self-report and electrophysiological indices of drowsy driving: A usability examination of a personal brain-computer interface device


    Beteiligte:
    Dunbar, Jerone (Autor:in) / Gilbert, Juan E. (Autor:in) / Lewis, Ben (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2020-04-16


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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