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      Simulator sickness incidence and susceptibility during neck motion-controlled virtual reality tasks

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          Most cited references51

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          Simulator Sickness Questionnaire: An Enhanced Method for Quantifying Simulator Sickness

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            Virtual reality induced symptoms and effects (VRISE): Comparison of head mounted display (HMD), desktop and projection display systems

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              Validating an efficient method to quantify motion sickness.

              Motion sickness (MS) can be a debilitating side effect associated with motion in real or virtual environments. We analyzed the effect of expectancy on MS and propose and validate a fast and simple MS measure. Several questionnaires measure MS before or after stimulus presentation, but no satisfactory tool has been established to quickly capture MS data during exposure. To fill this gap, we introduce the Fast MS Scale (FMS), a verbal rating scale ranging from zero (no sickness at all) to 20 (frank sickness). Also, little is known about the role of expectancy effects in MS studies. We conducted an experiment that addressed this issue. For this study, 126 volunteers participated in two experiments. During stimulus presentation, participants had to verbally rate the severity of MS every minute before filling in the Simulator Sickness Questionnaire (SSQ). To measure expectancy effects, participants were separated into three groups with either positive, negative, or neutral expectations. We compared the verbal ratings with the SSQ scores. Pearson correlations were high for both the SSQ total score (r = .785) and the nausea subscore (r = .828). No expectancy effects were found. The FMS is a fast and valid method to obtain MS data. It offers the possibility to record MS during stimulus presentation and to capture its time course. We found expectancy not to play a crucial role in MS. However, the FMS has some limitations. The FMS offers improved MS measurement. It is fast and efficient and can be performed online in environments such as virtual reality.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Virtual Reality
                Virtual Reality
                Springer Science and Business Media LLC
                1359-4338
                1434-9957
                November 2015
                June 10 2015
                November 2015
                : 19
                : 3-4
                : 267-275
                Article
                10.1007/s10055-015-0266-4
                4f5601b7-6de3-4304-80bf-e28c1aa92a05
                © 2015

                http://www.springer.com/tdm

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