A study of detecting and combating cybersickness with fuzzy control for the elderly within 3D virtual stores |
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| Affiliation: | 1. Department of Computer Science, University of Toronto, 10 King׳s College Road, Toronto, Ontario, Canada M5S 3G4;2. School of Information, Kochi University of Technology, Miyanokuchi 185, Tosayamada-Cho Kami-shi, Kochi 782-8502, Japan;1. Unidad de Superficie e Inflamación Ocular, Servicio de Oftalmología, Instituto de Investigación Sanitaria del Hospital Clínico Universitario San Carlos (IdISSC), Madrid, Spain;2. Unidad de Investigación Oftalmológica Santiago Grisolía, Valencia, Spain;3. Unidad de Investigación Oftalmológica, Facultad de Medicina, Universidad de Valencia, Valencia, Spain;4. Unidad de Neurooftalmología, Hospital Clínico Universitario San Carlos, Madrid, Spain;5. Red Española de Patología Ocular (OFTARED), Spain;1. Vision Science Program, University of California, Berkeley, Berkeley, CA 94720, USA;2. School of Optometry, Vision Science Program, University of California, Berkeley, Berkeley, CA 94720, USA;1. Department of Industrial Design, Korea Advanced Institute of Science and Technology (KAIST), 335 Gwahangno, Yusung-Gu, Daejeon 305–701, Republic of Korea;2. Department of Computer Sciences, University of Wisconsin–Madison, 1210 W. Dayton St. Madison, WI 53706, USA |
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| Abstract: | ![]()
Elderly individuals can access online 3D virtual stores from their homes to make purchases. However, most virtual environments (VEs) often elicit physical responses to certain types of movements in the VEs. Some users exhibit symptoms that parallel those of classical motion sickness, called cybersickness, both during and after the VE experience. This study investigated the factors that contribute to cybersickness among the elderly when immersed in a 3D virtual store. The results of the first experiment show that the simulator sickness questionnaire (SSQ) scores increased significantly by the reasons of navigational rotating speed and duration of exposure. Based on these results, a warning system with fuzzy control for combating cybersickness was developed. The results of the second and third experiments show that the proposed system can efficiently determine the level of cybersickness based on the fuzzy sets analysis of operating signals from scene rotating speed and exposure duration, and subsequently combat cybersickness. |
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| Keywords: | Navigational rotating speed Cybersickness Elderly Virtual store Fuzzy control |
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