Eye-hand coordination is crucial to many important tasks. A NLDS framework assumes that eyes and hands are interacting facets of one complex oculo-motor system in which physiological and task constraints interact to shape overall system behavior. Participants (N=13) in this study played a first-person video game with either a traditional GameCube controller or a motion-sensing Wiimote controller. Eye movement and hand movement time series data were analyzed with nonlinear statistical methods in the search for evidence of multifractal structure. Multiple Ho?êlder exponents were obtained for both conditions, indicating that eye and hand movements were multifractal. Hand movement data in both conditions contained brown noise indicative of short-term correlations in the time series. Eye movements in both conditions contained pink noise indicative of long-term correlations although the signal in the Wiimote condition was pinker, suggesting perhaps more orderly eye movements. Mean eye movement Ho?êlder exponents in the Wiimote condition were pinker than in the GameCube condition. Eye movements change depending on the constraints of the hand
