Measurement and prediction of cybersickness on older users caused by a virtual environment

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Abstract

Recently the development of network technology is quickly, there are more and more VEs can be browsed on the Web, such as video games, digital museums and electronic shops. Therefore, the older web-users can easily immerse in a VE at home and become the fastest growing group of internet users. In general, these visitors browse the web-VEs on the field of TFT-LCD display. This study found that the SSQ scores of cybersickness increased significantly with increasing navigation rotating speed and exposure duration on older participants whilst the device of TFT-LCD displays are used to present the VE. Therefore, the cybersickness-predicting model was designed by fuzzy sets including speed of navigation rotation, angle of navigation rotation and exposure duration to evaluate the symptom of cybersickness for older users on TFT-LCD display in VE. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Liu, C. L., & Uang, S. T. (2007). Measurement and prediction of cybersickness on older users caused by a virtual environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4555 LNCS, pp. 666–675). Springer Verlag. https://doi.org/10.1007/978-3-540-73281-5_72

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