Title:	VISUAL AND MANUAL PERFORMANCE OF HUMAN COMPUTER INTERACTION IN VIRTUAL ENVIRONMENT
Author(s):	Chiuhsiang Joe Lin, Hung-Jen Chen, Tien-Lung Sun
ISBN:	978-972-8939-52-6
Editors:	Katherine Blashki
Year:	2011
Edition:	Single
Keywords:	Virtual Reality, Depth Perception, Movement Performance.
Type:	Poster/Demonstration
First Page:	483
Last Page:	485
Language:	English
Cover:
Full Contents:	click to dowload
Paper Abstract:	Recent advancement in virtual reality (VR) technology has made possible the human user high sense of immersion in interacting with the VR environment. It is well known that even under real world the human is subject to perception errors. In VR environment, it is very likely that the perception of distance would affect how well the human user move and control the body in order to work in VR environment. The proposed study aims to explore the factors that affect the visual perception of distance in VR environment and thus understand how these visual factors further affect the manual interaction performance. The present study will be divided into two experiments. The purpose of the first experiment is to investigate the distance perception factors, especially the depth perception which has been proposed as the main problem in many VR systems. Other factors include the visual angle in the visual field and how far the observer is from the object. The refresh rate may also play important roles in distance perception. The measures will include the precision of the distance evaluation and the subjective discomfort in various VR parameters. The second experiment is to investigate the manual control performance in VR environment and its relationship with the distance perception. The Fitts’ law task will be used as the experimental task and the participant’s manual movement speed and accuracy will be measured under various VR parameters. In particular, to control the experimental size under management, the movement task will be carried out under the worst and best conditions in some of the factors investigated by the first experiment. The findings will provide a basis for designing a better VR environment for highly accurate manual control in that environment, that is, a better understanding in human-VR interaction.
	Go Back