Abstract In order to accurately simulate the placement task of users in VR (virtual reality) environment and avoid the low placement accuracy caused by the shaking of interaction devices, the interaction was carried out by using natural gestures. A prediction method of natural gesture interaction time for VR placement task based on improved Fitts Law was proposed. Firstly, the interaction logic of "gesture interaction-VR environment-VR interaction task" was constructed to establish the semantic mapping relationship between natural gesture and interaction task; secondly, according to the design principle of natural gesture, the natural gesture interaction experiment for VR placement task was carried out; then, combined with the characteristics of VR placement task, the moving distance, target tolerance and the size of the moving object were integrated into the classical Fitts Law, and the prediction model of natural gesture interaction time based on improved Fitts Law was established; finally, the regression analysis of the experimental data was carried out. It was found that the correlation coefficient R2=0.515 by fitting based on the classical Fitts Law, and there was a large deviation between the predicted value and the real value of interaction time, which indicated that the classical Fitts Law was not suitable to predict the natural gesture interaction time for VR placement task; the correlation coefficient R2=0.970 based on improved Fitts Law, and the predicted value of interaction time was consistent with the real value, which showed that improved Fitts Law had good applicability and could accurately predict the natural gesture interaction time for VR placement task. The research results enrich the VR interaction mode, and can provide guidance for the design of human-computer interaction interface in VR environment.
YAN Bao-ming, PAN Wei-jie, Lü Jian, WANG Yi, ZHAO Ze-yu. Prediction of natural gesture interaction time for VR placement task. Chinese Journal of Engineering Design, 2021, 28(3): 296-304.
