Abstract
Technologies related to urban air mobility (UAM) are being studied worldwide. However, the social acceptance of UAMs and drones has not been investigated thoroughly. To address this issue, the authors propose a social acceptance evaluation method that combines subjective assessments by questionnaires with objective evaluations using a Kansei Analyzer based on a simple electroencephalograph. The effectiveness of the proposed method was confirmed. In the benefit-effect assessment conducted in December 2023, scene assumption was proposed as a means of improving social acceptance. However, the reliability of the obtained data was insufficient, and there was a possibility of not preparing an appropriate experimental environment or assuming sufficient scenes. Even if the subject is able to adequately assume the scene, it is difficult to ignore the discrepancy between the actual UAM and CG. Therefore, it is necessary to reduce the discrepancy between the actual UAM and CG by improving the experimental environment. As it is difficult to conduct experiments using an actual UAM, in this study, we used a drone (multicopter) for the investigation. This paper presents the results from a preliminary experiment conducted with students in our research group, rather than with participants from the general public.
