@proceedings {7780496, title = {Passive and active assistance for human performance of a simulated underactuated dynamic task}, year = {2003}, note = {

simulated underactuated dynamic task;machine-mediated training;virtual fixtures;active assist;haptic feedback;visual feedback;

}, pages = {348 - 55}, address = {Los Angeles, CA, USA}, abstract = {

Machine-mediated training of dynamic task completion is typically implemented with passive intervention via virtual fixtures or active assist by means of record and replay strategies. During interaction with a real dynamic system however, the user relies on both visual and haptic feedback real-time in order to elicit desired motions. This work investigates human performance in a Fitts{\textquoteright} type targeting task with an underactuated dynamic system. Performance, in terms of number of hits and between-target tap times, is measured while various passive and active control modes are displayed concurrently with the haptic feedback from the simulated system{\textquoteright}s own dynamic behavior. It Is hypothesized that passive and active assist modes that are implemented during manipulation of simulated underactuated systems could be beneficial in rehabilitation applications. Results indicate that human performance can be improved significantly with the passive and active assist modes

}, keywords = {Haptic interfaces, Virtual reality}, url = {http://dx.doi.org/10.1109/HAPTIC.2003.1191308}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/omalley2003HAPTICS.pdf}, author = {O{\textquoteright}Malley, M.K. and Abhishek Gupta} } @proceedings {7971173, title = {Skill transfer in a simulated underactuated dynamic task}, year = {2003}, note = {

underactuated dynamic system;Fitts{\textquoteright} type;skill transfer;haptic feedback;

}, pages = {315 - 20}, address = {Millbrae, CA, USA}, abstract = {

Machine-mediated teaching of dynamic task completion is typically implemented with passive intervention via virtual fixtures or active assist by means of record and replay strategies. During interaction with a real dynamic system however, the user relies on both visual and haptic feedback in order to elicit desired motions. This work investigates skill transfer from assisted to unassisted modes for a Fitts{\textquoteright} type targeting task with an underactuated dynamic system. Performance, in terms of between target tap times, is measured during an unassisted baseline session and during various types of assisted training sessions. It is hypothesized that passive and active assist modes that are implemented during training of a dynamic task could improve skill transfer to a real environment or unassisted simulation of the task. Results indicate that transfer of skill is slight but significant for the assisted training modes

}, keywords = {computer based training, Haptic interfaces, learning (artificial intelligence), Virtual reality}, url = {http://dx.doi.org/10.1109/ROMAN.2003.1251864}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/omalley2003ieeeskilltrans.pdf}, author = {O{\textquoteright}Malley, M.K. and Abhishek Gupta} }