@misc{KossowskyLev24-EHWIP-Errors,
  title = {Errors in Long-Term Robotic Surgical Training},
  abstract = {Robotic surgeries offer many advantages but require surgeons to master complex motor tasks over years. Most motor-control studies focus on simple tasks and span days at most. To help bridge this gap, we followed surgical residents learning complex tasks on a surgical robot over six months. Here, we focus on the task of moving a ring along a curved wire as quickly and accurately as possible. We wrote an image processing algorithm to locate the errors in the task and computed error metrics and task completion time. We found that participants decreased their completion time and number of errors over the six months, however, the percentage of error time in the task remained constant. This long-term study sheds light on the learning process of the surgeons and opens the possibility of further studying their errors with the aim of minimizing them.},
  howpublished = {Work-in-progress paper (3 pages) presented at the EuroHaptics},
  address = {Lille, France},
  month = jun,
  year = {2024},
  slug = {kossowskylev24-ehwip-errors},
  author = {Kossowsky Lev, Hanna and Sharon, Yarden and Geftler, Alex and Nisky, Ilana},
  month_numeric = {6}
}