the Predictive Modeling of VE Sickness
Eugenia M. Kolasinski, Ph.D. and Richard D. Gilson, Ph.D.
University of Central Florida
Orlando, FL USA
Research has documented that, as with other simulated environments, simulator sickness can also occur in conjunction with exposure to Virtual Environment (VE) systems. Sickness associated with VE exposure ranging from queasiness to nausea and vomiting may both discomfort and discourage users. If it could be predicted who will experience sickness in VE systems, then it may be possible to identify at-risk individuals, warn them, and, perhaps, even train them in some way to reduce their risk. This research investigated the prediction of sickness in a VE.
Reschke ( 1990) investigated the prediction of space motion sickness and met with some success using both linear discriminant analysis and logistic modeling techniques on reported cases of sickness in weightlessness environments. This suggests that models might be successfully developed for predicting simulator and, specifically, VE sickness as well.
Kolasinski ( 1995) reviewed motion and simulator sickness literature and identified 40 factors that may be associated with sickness occurring in VEs. The factors fell into three global categories: simulator-related, task-related, and individual-related. As an exploratory investigation into the modeling of sickness, this research focused on individual-related factors only.