Abstract
Research and development of autonomous driving technology is accelerating in the automotive industry. Currently, drivers of such vehicles are considered to pay less attention to environmental conditions while being driven, due to potential overestimations of autonomous driving functionality and its reliability. In this paper, methods to quantitatively measure the driver’s gaze behavior are proposed, followed by investigation methodology and results on how auditory warning signals influence the behavior, where the difference between novice and experienced drivers is also compared.
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Osawa, R., Imafuku, S., Shirayama, S. (2017). A Basic Study of Gaze Behavior Measurement Methodology for Drivers in Autonomous Vehicles. In: Kurahashi, S., Ohta, Y., Arai, S., Satoh, K., Bekki, D. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2016. Lecture Notes in Computer Science(), vol 10247. Springer, Cham. https://doi.org/10.1007/978-3-319-61572-1_21
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DOI: https://doi.org/10.1007/978-3-319-61572-1_21
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