Analyzing Accurate Egocentric Distance Estimates of University Students in Virtual Environments with a Desktop Display and Gear VR Display

The perception of distances is crucial in both the real world and virtual environments. However, can be incorrectly estimated latter one, they affected by technological human factors. We created a environment to take step toward understanding this phenomenon. assessed egocentric distance estimation skills 239 university students at 10 various between 25 cm 160 15 intervals. A desktop display was used 157 students, while Gear VR 72 students. effects following factors were analyzed: gender, height, dominant arm, previous experience, gaming hours per week, whether participants wore glasses, their field study, device. Logistic regression analysis performed assess influences on probabilities accurate estimates, linear conducted examine times. results show that except for glasses estimates along with times themselves.