Publications
カンファレンス (国際) Evaluating the Applicability of GUI-based Steering Laws to VR Car Driving: A Case of Curved Constrained Paths
Shota Yamanaka, Takumi Takaku (Meiji University), Yukina Funazaki (Meiji University), Noboru Seto (Meiji University), Satoshi Nakamura (Meiji University)
The 2023 ACM Interactive Surfaces and Spaces Conference (ISS 2023)
2023.11.1
Evaluating the validity of an existing user performance model in a variety of tasks is important for enhancing its applicability. Accordingly, we conducted a user experiment with a driving simulator to measure the speed and time on curved roads and thus facilitate evaluation of models for pen-based path-steering tasks. The results showed that the best-fit models for speed and time had adjusted r^2 values of 0.9342 and 0.9723, respectively, for three road widths and eight curvature radii. While the models required some adjustments, the overall components of the tested models were consistent with those in previous pen-based experimental results. Our results demonstrated that user experiments to validate potential models based on pen-based tasks are effective as a pilot approach for driving tasks with more complex road conditions.
Paper :
Evaluating the Applicability of GUI-based Steering Laws to VR Car Driving: A Case of Curved Constrained Paths
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