Head-Coupled Kinematic Template Matching for Target Selection in Hangry Piggos

CHI '20: CHI Conference on Human Factors in Computing Systems Honolulu HI USA April, 2020(2020)

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摘要
We demonstrate Head-Coupled Kinematic Template Matching (HC-KTM) - a new technique to predict a ray pointer's landing position (end-position and angle) for selection movements in virtual reality (VR) environments. The technique adapts and extends a prior 2D kinematic template matching method to VR environments where ray pointers are used for selection. It builds on the insight that the kinematics of a controller and Head-Mounted Display (HMD) can be used to predict the ray's final landing position and angle. In our VR game, Hangry Piggos, we leverage HC-KTM to generate target predictions within a scene, and we apply pointing visualization techniques on top of them to accelerate a player's selection.
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关键词
Endpoint prediction, target prediction, virtual reality, VR, kinematics, ray pointing, template matching
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