Modeling surgical skill learning with cognitive simulation

Shi Hyun Park, Irene H. Suh, Jung Hung Chien, Jaehyon Paik, Frank E. Ritter, Dmitry Oleynikov, Joseph Ka-Chun Siu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We used a cognitive architecture (ACT-R) to explore the procedural learning of surgical tasks and then to understand the process of perceptual motor learning and skill decay in surgical skill performance. The ACT-R cognitive model simulates declarative memory processes during motor learning. In this ongoing study, four surgical tasks (bimanual carrying, peg transfer, needle passing, and suture tying) were performed using the da Vinci

Original languageEnglish (US)
Title of host publicationMedicine Meets Virtual Reality 18
Subtitle of host publicationNextMed, MMVR18
PublisherIOS Press
Pages428-432
Number of pages5
ISBN (Print)9781607507055
DOIs
StatePublished - 2011

Publication series

NameStudies in Health Technology and Informatics
Volume163
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Keywords

  • Cognition
  • Perceptual motor learning
  • User models
  • Virtual reality

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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