Haptic Feedback and Human Performance in a strongDynamicstrong Task.pdfVIP

Haptic Feedback and Human Performance in a Dynamic Task Felix Huang R. Brent Gillespie Art Kuo Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109 fhuang@umich.edu; brentg@umich.edu; artkuo@umich.edu Abstract performance of humans in a discrete aiming task in terms of information processing rate (Repperger, This study explores the effects of haptic feedback on 1995). More accurate aiming was achieved under performance and learning by human subjects the influence of non-linear spring forces from a executing a dynamic task. We present the results of haptic interface. Mussa-Ivaldi showed that the experiments involving the control of a ball and application of ‘force fields’, through a haptic beam. Human subjects perform position targeting interface, caused humans to adapt to the novel of the ball through hand operation of the beam conditions and perform desired motions given angle. In our dynamic analysis we discuss how this sufficient practice. Such a training regimen was prototype task may be used to test the efficacy of shown to have some lasting effects even after the various haptic feedback conditions. We obtain field was removed, suggesting that humans were results for two conditions of haptic feedback, making use of internal models of the force fields produced using two ball sizes, and apply various developed during training (Mussa-Ivaldi, 2000). metrics to analyze performance. We also examine The above experiments, however, describe tasks in ordering effects that occur in the