TY - GEN
T1 - Multimodal training by demonstration for robot-assisted surgery
AU - Abdelaal, Alaa Eldin
AU - Hager, Gregory D.
AU - Salcudean, Septimiu E.
N1 - Funding Information:
This work is supported by the Natural Sciences and EngineeringResearch Council of Canada (NSERC)
Funding Information:
This work is supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation, Intuitive Surgical, the C.A. Laszlo Chair in Biomedical Engineering held by Dr. Septimiu E. Salcudean and the Vanier Canada Graduate Scholarship held by Alaa Eldin Abdelaal.
Publisher Copyright:
© 2020 ACM.
PY - 2020/3/23
Y1 - 2020/3/23
N2 - Improving surgical training has the potential to reduce medical errors and consequently to save many lives. We briefly present our efforts to improve this training for robot-assisted surgery. In particular, we explore how data collected from expert demonstrations can enhance the training efficiency for novices. Thus far, our results show that combining hand-over-hand training based on experts' motion data with trial and error training can improve the training outcomes in robotic and conventional laparoscopic surgery settings. We briefly describe our current efforts for exploring how gaze-based training methods, based on experts' eye gaze data, can improve the training outcomes as well.
AB - Improving surgical training has the potential to reduce medical errors and consequently to save many lives. We briefly present our efforts to improve this training for robot-assisted surgery. In particular, we explore how data collected from expert demonstrations can enhance the training efficiency for novices. Thus far, our results show that combining hand-over-hand training based on experts' motion data with trial and error training can improve the training outcomes in robotic and conventional laparoscopic surgery settings. We briefly describe our current efforts for exploring how gaze-based training methods, based on experts' eye gaze data, can improve the training outcomes as well.
KW - Gaze tracking
KW - Robot-assisted surgery
KW - Surgical training
KW - Training by demonstration
UR - http://www.scopus.com/inward/record.url?scp=85083225916&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85083225916&partnerID=8YFLogxK
U2 - 10.1145/3371382.3377448
DO - 10.1145/3371382.3377448
M3 - Conference contribution
AN - SCOPUS:85083225916
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 549
EP - 551
BT - HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE Computer Society
T2 - 15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020
Y2 - 23 March 2020 through 26 March 2020
ER -