Distant Object Manipulation with Adaptive Gains in Virtual Reality

Xiaolong Liu, Lili Wang, Shuai Luan, Xuehuai Shi, Xinda Liu

Abstract: Object Manipulation is a fundamental interaction in virtual reality (VR). The efficiency and accuracy of object manipulation are important to provide immersion to users. We propose a manipulation method with adaptive gains to improve the efficiency and accuracy of object manipulation in VR applications. First, we introduce manipulation gains. We then design an experiment to collect user behavior during manipulation to determine fitting functions for calculating manipulation gain. At last, we design a user study to evaluate the performance of our distant object manipulation method with adaptive gains. The results show that, compared with the state of the art methods, our method has a significant improvement in the completion time, and the manipulation accuracy of the tasks. Moreover, our method significantly increases usability and reduces task load.