Assessing Workload through Physiological Measurements in Bus Drivers Using an Automated System during Docking

Abstract : The aim of the experiment was to test the effect of an automated system of bus docking on drivers' mental workload. Reduced workload is thought to be brought about by helping the driver to maneuver, as he or she is required only to monitor proper functioning of the system. However, the true impact of the system on drivers must be studied to guarantee good acceptance and minimal distraction from traffic. Workload was estimated by electrodermal activity recording while drivers tested 5 scenarios involving (or not involving) the docking system. Results showed that docking precision was improved when the system was used. When drivers monitored the functioning of the system, their workload was higher than that observed during manual docking; however, reduced workload was evidenced after a learning process. The docking system was also shown to increase workload in the event of dysfunction, especially when drivers had to take over control. Despite this particular situation, and after habituation, such a system could be integrated into buses to improve safety during boarding and egress.
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Journal articles
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Submitted on : Wednesday, November 6, 2019 - 11:03:28 AM
Last modification on : Friday, November 8, 2019 - 1:07:03 AM

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Christian Collet, Claire Petit, Stéphane Champely, André Dittmar. Assessing Workload through Physiological Measurements in Bus Drivers Using an Automated System during Docking. Human Factors, SAGE Publications, 2016, 45 (4), pp.539-548. ⟨10.1518/hfes.45.4.539.27082⟩. ⟨hal-02350901⟩

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