Automaticity of force application during simulated brain tumor resection: testing the Fitts and Posner model

Authors: Abdulgadir Bugdadi, Robin Sawaya, Duaa Olwi, Gmaan Al-Zhrani, Hamed Azarnoush, Abdulrahman Jafar Sabbagh, Ghusn Alsideiri, Khalid Bajunaid, Fahad E Alotaibi, Alexander Winkler-Schwartz, Rolando Del Maestro

Publication date: 2018

Journal: Journal of Surgical Education

Publisher: Elsevier

Description: The Fitts and Posner model of motor learning hypothesized that with deliberate practice, learners progress through stages to an autonomous phase of motor ability. To test this model, we assessed the automaticity of neurosurgeons, senior residents, and junior residents when operating on 2 identical tumors using the NeuroVR virtual reality simulation platform.

Participants resected 9 identical simulated tumors on 2 occasions (total = 18 resections). These resections were separated by the removal of a variable number of tumors with different visual and haptic complexities to mirror neurosurgical practice. Consistency of force application was used as a metric to assess automaticity and was defined as applying forces 1 standard deviation above or below a specific mean force application. Amount and specific location of force application during second identical tumor resection was compared to that used …

Total citations: 23

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Automaticity of force application during simulated brain tumor resection: testing the Fitts and Posner model

Automaticity of force application during simulated brain tumor resection: testing the Fitts and Posner model

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Automaticity of force application during simulated brain tumor resection: testing the Fitts and Posner model