Abstract
The study aims to develop a system that visualizes spatiotemporal information in both real and virtual spaces, integrating SNS, Web-GIS , MR and the gallery system as well as Wikitude, and connecting external social media . Using these systems and technologies, the system has four functions for area-based learning , three functions for sightseeing , four functions specialized for VR , AR and MR . The system was applied for five weeks, and the total number of users was 66. From the evaluation results, it was clear that all of the functions in the system were highly evaluated, and most of the functions for area-based learning are more popular than other two kinds of functions. Though all users used the functions specialized for VR , AR and MR , they were more negatively evaluated than other two kinds of functions. Consequently, the present study showed the possibility that the system will support both area-based learning and sightseeing using VR , AR and MR .
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Acknowledgements
In the application of the spatiotemporal information system and the online questionnaire surveys of the present study, enormous cooperation was received from those in Japan. We would like to take this opportunity to gratefully acknowledge them.
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Makino, R., Yamamoto, K. (2019). Spatiotemporal Information System Using Mixed Reality for Area-Based Learning and Sightseeing. In: Geertman, S., Zhan, Q., Allan, A., Pettit, C. (eds) Computational Urban Planning and Management for Smart Cities. CUPUM 2019. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-030-19424-6_16
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