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Henry B - Human Interface Technology Laboratory - University of ...

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non-optimal conditions (Stanney and Salvendy, 1998). Consider for example SS / VE sickness (or<br />

so-called cybersickness). Most users experience some level <strong>of</strong> SS the first time they use a VE system<br />

(Regan and Price, 1994). With repeated exposures, they adapt and SS symptoms decrease. Hettinger et al.<br />

(1987) suggested that SS may correlate with the ability <strong>of</strong> a VE to elicit illusory self-motion (vection).<br />

Hypothesized contributors to SS also include scene content, FOV, image resolution, motion trajectory,<br />

frequency characteristics <strong>of</strong> scene motion, etc. Postural disturbance has been proposed for evaluating VE<br />

systems (Stanney and Salvendy, 1998). Kennedy and Stanney (1996) evaluated postural stability<br />

measures for assessing aftereffects from VE exposure. Previous studies (Cobb and Nichols, 1998;<br />

Hamilton et al, 1989) indicate that balance disturbance correlates with simulator sickness. Also, balance<br />

disturbance has been suggested as a surrogate measure for SS intensity. Scene content, FOV, image<br />

resolution, motion trajectory, and frequency characteristics <strong>of</strong> scene motion affect vection as well as SS.<br />

Vection, presence and SS are related to postural disturbance. In this study, we examine effects <strong>of</strong> FOV,<br />

image resolution and scene content on postural disturbance.<br />

1.1 Central/Peripheral vision<br />

Vection has been proposed as a contributor to presence in virtual environments (McGreevy, 1992) and<br />

to inducing SS (Kennedy, Hettinger, & Lilienthal, 1990). Because large FOVs stimulate peripheral

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