Exploring the Main Factors of Human Depth Perception in Virtual Environment

碩士 === 中原大學 === 工業與系統工程研究所 === 99 === The purpose of this study was to explore human depth perception factors in the virtual environment. The factors included different visual directions, space cues and the form of depth perception. In this study, there were two stages. The first stage used Unity 3...

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Bibliographic Details
Main Authors: Ming-Ching Wang, 王明敬
Other Authors: Chiu-hsiang Lin
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/nk5687
Description
Summary:碩士 === 中原大學 === 工業與系統工程研究所 === 99 === The purpose of this study was to explore human depth perception factors in the virtual environment. The factors included different visual directions, space cues and the form of depth perception. In this study, there were two stages. The first stage used Unity 3.0 to establish the experimental virtual environment. In the second stage the subject was asked to fill in the simulator sickness questionnaire after the experiment and their performance in distance estimation and degree of subjective discomfort was collected and analyzed. The results showed that when subject’s viewing angle was large, the phenomenon of relative distance compression was small and the performance was better but was easy to overestimate the shorter distance. When the viewing angle was small, it was easy to underestimate the longer distance. The 90° horizontal visual direction had a significant larger assessment time. The subject was able to judge more quickly and accurately in the closed space with boundary. When the display contained concave or convex objects, the subject took a longer assessment time and produced more visual discomfort and fatigue symptoms. But this uncommon stereoscopic visual experience was able to bring a sense of exhilaration. The study further suggested that since the depth perception in virtual environments was of compression characteristics, it should be cautioned when there was a need to perform precise tasks to avoid errors in the depth axis.