• DocumentCode
    3683976
  • Title

    Can virtual reality trainers improve the compliance discrimination abilities of trainee surgeons?

  • Author

    Earle S. Jamieson;James H. Chandler;Peter R. Culmer;Michael Manogue;Mark Mon-Williams;Richard M. Wilkie

  • Author_Institution
    School of Mechanical Engineering and the School of Psychology, The University of Leeds, United Kingdom LS2 9JT
  • fYear
    2015
  • Firstpage
    466
  • Lastpage
    469
  • Abstract
    The assessment of tissue compliance using a handheld tool is an important skill in medical areas such as laparoscopic and dental surgery. The increasing prevalence of virtual reality devices raises the question of whether we can exploit these systems to accelerate the training of compliance discrimination in trainee surgeons. We used a haptic feedback device and stylus to assess the abilities of naïve participants to detect compliance differences with and without knowledge of results (KR) (groups 1 and 2), as well as the abilities of participants who had undergone repetitive training over several days (group 3). Kinematic analyses were carried out to objectively measure the probing action. Untrained participants had poor detection thresholds (mean just noticeable difference, JND = 33%), and we found no effect of KR (provided after each trial) on performance (mean JND = 35%). Intensive training dramatically improved group performance (mean JND = 12%). Probing action (in particular, slower movement execution) was associated with better detection thresholds, but training did not lead to systematic changes in probing behaviour. These findings set a benchmark for training systems that act to increase perceptual sensitivity and guide the learner toward optimal movement strategies to improve discrimination.
  • Keywords
    "Training","Haptic interfaces","Kinematics","Dentistry","Probes","Force","Surgery"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7318400
  • Filename
    7318400