A development of fully autonomous-driving vehicle is approaching towards the more utilization of time in vehicle aiming at various purposes such as entertainment and relaxation. To achieve such purposes, it is necessary to provide a comfortable environment in the vehicle. Therefore, the goal of this study is to realize a new method to evaluate the comfort focusing on the interior space of the autonomous vehicle. We proposed an emotion map, to estimate and classify emotions by biological signal indexes. We performed an experiment to evaluate various scenarios with the simulated autonomous vehicle in which multimodal stimulus were presented. The experimental results indicated that the comfort increased during the autonomous driving. Therefore, we suggest that our proposed method is effective for evaluating the comfort for the interior of autonomous vehicle, and also applicable to other scenarios.
CITATION STYLE
Ueno, S., Zhang, R., Laohakangvalvit, T., & Sugaya, M. (2021). Evaluating Comfort in Fully Autonomous Vehicle Using Biological Emotion Map. In Lecture Notes in Networks and Systems (Vol. 270, pp. 323–330). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-80012-3_38
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