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    Investigation of Train Driver Physiological Responses

    HCI 2018

    Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)

    Belfast, UK, 4 - 6 July 2018


    Katie Crowley & Nora Balfe



    Train Driver workload is an under-researched area. Operator workload has been extensively studied in the automotive, aeronautical and other domains using performance, subjective and physiological measures. In this exploratory study, we combine subjective self-report measures with a task-based measure of workload and physiological measures. Heart Rate and Galvanic Skin Response are collected from train drivers over the course of their journey. These signals are analysed with respect to subjective and task-based measures of workload, but no reliable correlations were found between the physiological and other workload measures. However, the results show that peaks in both the Heart Rate and GSR data are associated with particular locations or events and changes in GSR data reflect anticipatory events and are inline with subjective driver commentary. This suggests that further research on physiological measures for train drivers is warranted.


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