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This study developed a simple and scalable e-scooter riding evaluation platform that reduces on-site implementation effort by relying primarily on image analysis. The platform supports repeated riding trials under consistent conditions in an indoor environment. By combining the areas covered by two drones, the system recorded an entire long and narrow indoor riding lane. A pretrained YOLO model was fine-tuned to construct a rider detection model adapted to the experimental environment. ORB-based image registration and trajectory integration then transformed the riding trajectories obtained from the two cameras into a common coordinate system. Riding speed, riding duration, and the radius of curvature of the two curves were calculated. The results revealed differences among subjects in speed variation, stability across riding trials, and turning characteristics, including stable low-speed riding, sustained high-speed riding, and deceleration before turning. For most subjects, the inter-camera junction discrepancy was within 10 cm, indicating general internal consistency of trajectory integration under the experimental conditions. These results suggest that the proposed system can serve as a video-based platform for quantitatively evaluating observable riding behavior, including riding trajectory and speed characteristics, in an indoor riding lane.
Following the COVID-19 pandemic, new norms known as the “new normal” were developed and moralized worldwide. Adherence to these moralized norms has been studied as a function of individual differences, such as moral values. Moral Foundations Theory identifies five domains of moral judgment. The Care and Fairness foundations are collectively referred to as the individualizing foundation, while the Ingroup, Authority, and Purity foundations are classified as the binding foundation. However, even when the content of the norms is identical, their effectiveness may depend on how they are presented. Message senders should tailor the communication of norms to align with the values of potential receivers, thereby increasing the likelihood that more individuals will adhere to these norms. This study tested the effects of moral values on the acceptance of moralized norms presented in different frames during the COVID-19 pandemic in Japan. Grounded in the theoretical framework of the Model of Moral Motives, Studies 1a and 1b each investigated a single type of framing—prescriptive in 1a and proscriptive in 1b. In Study 2, we employed the same set of norms as in Study 1 but tested both framing types and incorporated additional control variables. The findings examined whether individuals’ focus on individualizing or binding moral foundations selectively predicted norm acceptance as a function of message framing. The findings suggest that individual moral values moderate acceptance of norms in different frames. This has implications for how message senders reach appropriate targets.
