@proceedings {1903, title = {Toward improved surgical training: Delivering smoothness feedback using haptic cues}, year = {2018}, month = {03/2018}, pages = {241-246}, publisher = {IEEE}, address = {San Francisco, CA}, abstract = {

Surgery is a challenging domain for motor skill acquisition, and compounding this difficulty is the often delayed and qualitative nature of feedback that is provided to trainees. In this paper, we explore the effectiveness of providing real-time feedback of movement smoothness, a characteristic associated with skilled and coordinated movement, via a vibrotactile cue. Subjects performed a mirror-tracing task that requires coordination and dexterity similar in nature to that required in endovascular surgery. Movement smoothness, measured by spectral arc length, a frequency-domain measure of movement smoothness, was encoded in a vibrotactile cue. Performance of the mirror tracing task with smoothness-based feedback was compared to position-based feedback (where the subject was alerted when they moved outside the path boundary) and to a no-feedback control condition. Although results of this pilot study failed to indicate a statistically significant effect of smoothness-based feedback on performance, subjects receiving smoothness-based feedback altered their task completion strategies to improve speed and accuracy, while those receiving position-based feedback or no feedback only improved in terms of increased accuracy. In tasks such as surgery where both speed and accuracy are vital to positive patient outcomes, the provision of smoothness-based feedback to the surgeon has the potential to positively influence performance.

}, keywords = {biomechanics, biomedical education, computer based training, coordinated movement, delayed nature, dexterity, Feedback, frequency-domain measure, haptic cues, Haptic interfaces, Measurement, medical computing, mirror tracing task, mirror-tracing task, Mirrors, motor skill acquisition, movement smoothness, Navigation, qualitative nature, real-time feedback, skilled movement, smoothness-based feedback, spectral arc length, surgery, surgical training, Task analysis, training, vibrotactile cue}, doi = {10.1109/HAPTICS.2018.8357183}, attachments = {https://mahilab.rice.edu/sites/default/files/publications/jantscher\%202018\%20ieee.pdf}, author = {W. H. Jantscher and S. Pandey and P. Agarwal and S. H. Richardson and B. R. Lin and M. D. Byrne and M. K. O{\textquoteright}Malley} } @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} }