Estimation of Human Sensitivity for Curvature Gain of Redirected Walking Technology

PubDate: September 2021

Teams: School of Software Shandong University;Shandong University

Writers: Huiyu Li;Yulong Bian;Chenglei Yang;Fan Zhang;Yanshuai Zhao;Juan Liu;Xiangxu Meng;Linwei Fan

PDF: Estimation of Human Sensitivity for Curvature Gain of Redirected Walking Technology

Abstract

The curvature gain of redirected walking method enables users to explore virtual spaces that are larger than real spaces. The estimation of human sensitivity for curvature gain is important for redirected walking. Herein, we conduct two experiments under different path conditions. By adopting the psychophysical “method of limits” to be a new approach, the first experiment re-estimates the sensitivity for a curved path and further proves that people are more sensitive for right-curved paths than left-curved paths. The second experiment investigates the characteristics of preorder paths on the sensitivity to postorder paths, and finds that the existing of preorder paths significantly increases the sensitivity for the postorder path. Moreover, we find an interesting moderation effect on the direction consistency of preorder and postorder paths: the larger curved preorder path can significantly decrease the sensitivity for postorder path when they have the same direction. If their directions diverge, the effect of preorder path is not significant.