Abstract
As the shift from manual to automated driving occurs, the driver will be required to take a supervisory role in monitoring the driving environment and system parameters. Driver State Monitoring Systems (DSMS) have been proposed to evaluate the state of the driver and provide support for driver engagement. However, it is not clear how a DSMS may impact attentional mechanisms. Nineteen young adults (mean ± SD age = 19.58 ± 0.94 years) experienced a simulated semi-autonomous driving journey. Participants’ visual attention via eye tracking fixation and visit metrics were compared before, during, and after two distinct notifications designed to enhance driver engagement. The first notification displayed biofeedback changes in physiological state; the second notification provided speed limit changes. Results revealed participants spent longer attending to the outside driving environment during biofeedback. The results suggest the potential for feedback based on relevant physiological parameters to enhance global visual processing strategies during semi-autonomous driving.
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Stephenson, A., Eimontaite, I., Caleb-Solly, P., Alford, C. (2020). The Impact of a Biological Driver State Monitoring System on Visual Attention During Partially Automated Driving. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1212. Springer, Cham. https://doi.org/10.1007/978-3-030-50943-9_25
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DOI: https://doi.org/10.1007/978-3-030-50943-9_25
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