Abstract
Autonomous cars have been gaining attention as a future transportation option due to an envisioning of a reduction in human error and achieving a safer, more energy efficient and more comfortable mode of transportation. However, eliminating human involvement may impact the usage of autonomous cars negatively because of the impairment of perceived safety, and the enjoyment of driving. In order to achieve a reliable interaction between an autonomous car and a human operator, the car should evince intersubjectivity, implying that it possesses the same intentions as those of the human operator. One critical social cue for human to understand the intentions of others is eye gaze behaviour. This paper proposes an interaction method that utilizes the eye gazing behaviours of an in-car driving agent platform that reflects the intentions of a simulated autonomous car that holds the potential of enabling human operators to perceive the autonomous car as a social entity. We conducted a preliminary experiment to investigate whether an autonomous car will be perceived as possessing the same intentions as a human operator through gaze following behaviours of the driving agents as compared to the conditions of random gazing as well as when not using the driving agents at all. The results revealed that gaze-following behaviour of the driving agents induces an increase in the perception of intersubjectivity. Also, the proposed interaction method demonstrated that the autonomous system was perceived as safer and more enjoyable.
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Acknowledgement
This research has been supported by Grant-in-Aid for scientific research of KIBAN-B (18HQ3322) from the Japan Society for the Promotion of Science (JSPS).
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Karatas, N., Tamura, S., Fushiki, M., Okada, M. (2018). The Effects of Driving Agent Gaze Following Behaviors on Human-Autonomous Car Interaction. In: Ge, S., et al. Social Robotics. ICSR 2018. Lecture Notes in Computer Science(), vol 11357. Springer, Cham. https://doi.org/10.1007/978-3-030-05204-1_53
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DOI: https://doi.org/10.1007/978-3-030-05204-1_53
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