Abstract
The technology of computer graphics (CG) has been rapidly developing, and is being utilized in various domains. Driving simulators (DSs) can provide driving experience to a user/driver by reproducing a virtual traffic environment using CG. In recent years, advanced driver-assistance systems have been actively researched, developed, and evaluated by automobile companies and ministries that hold the jurisdictions of transportation. Accordingly, the need to use DSs has become strong as they are being used instead of real vehicles. However, the subjective speed for driving a DS is lower than that for driving a real vehicle. Consequently, in the case of DSs, some participants aggressively drive at fairly high speeds, and thus some data collected from DSs become unreliable. Therefore, to increase the fidelity of the driver’s behavior, a major challenge is to improve the subjective speed while using a DS to match the subjective speed in real driving. Two mainstream approaches employed to improve the subjective speed when using a DS are to spread the areas that display the images and to introduce a motion-based system. However, these approaches increase costs and require large space. In a previous study, the subjective speed was improved by correcting the CG image without the problems of high costs and large space. In this study, the objective is to control the subjective speed using CG image correction.
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Acknowledgment
This research was supported in part by the Kansai University Grant in Aid for progress of research in graduate course for 2019 and in part by Kansai University’s Overseas Research Program for 2014.
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Motomura, Y., Hashiguti, H., Asao, T., Kotani, K., Suzuki, S. (2020). Methodology of Controlling Subjective Speed While Watching CG Images. In: Stephanidis, C., et al. HCI International 2020 – Late Breaking Papers: Interaction, Knowledge and Social Media. HCII 2020. Lecture Notes in Computer Science(), vol 12427. Springer, Cham. https://doi.org/10.1007/978-3-030-60152-2_14
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DOI: https://doi.org/10.1007/978-3-030-60152-2_14
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