Psychomotor skills assessment in medical training based on virtual reality using a Weighted Possibilistic approach
Virtual reality has been used to provide training systems in several areas, particularly in medicine. In that area, users interactions in a virtual environment are modeled and compared with predefined classes of performance to know how much users are prepared to perform that procedure on human beings. In this paper is proposed a new approach for online Single Users Assessment System (SUAS) using Weighted Possibility and Necessity measures. Those fuzzy measures provide an interval-based estimator to check the compatibility between interactions of an user and previous stored classes of performance. This approach integrates the kernel of a decision support system and it contributes to improve the users assessment taking into account the individual relevance of variables in a procedure. It was verified in performance tests, when this new SUAS approach achieved better results, according to Kappa Coefficient, when compared with other previous approaches.
psychomotor skills assessment medical training virtual reality decision support system weighted possibility approach