Skills Assessment of Users in Medical Training Based on Virtual Reality Using Bayesian Networks

  • Ronei M. Moraes
  • Liliane S. Machado
  • Leandro C. Souza
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)

Abstract

Virtual reality allows the development of digital environments that can explore users’ senses to provide realistic and immersive experiences. When used for training purposes, interaction data can be used to verify users skills. In order to do that, intelligent methodologies must be coupled to the simulations to classify users´ skills into N a priori defined classes of expertise. To reach that, models based on intelligent methodologies are composed from data provided by experts. However, online Single User’s Assessment System (SUAS) for training must have low complexity algorithms to do not compromise the performance of the simulator. Several approaches to perform it have been proposed. In this paper, it is made an analysis of performance of SUAS based on a Bayesian Network and also a comparison between that SUAS and another methodology based on Classical Bayes Rule.

Keywords

Medical Training User’s Assessment Bayesian Networks Virtual Reality 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ronei M. Moraes
    • 1
  • Liliane S. Machado
    • 1
  • Leandro C. Souza
    • 2
  1. 1.Federal University of ParaíbaJoão PessoaBrazil
  2. 2.Federal University of PernambucoRecifeBrazil

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