Authors:
Jodavid Ferreira
1
;
2
;
Arthur Lopes
2
;
Liliane S. Machado
2
;
3
and
Ronei M. Moraes
2
;
4
Affiliations:
1
Graduate Program in Decision Models and Health, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
;
2
Laboratory of Technologies for Virtual Teaching and Statistics, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
;
3
Departament of Informatics, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
;
4
Departament of Statistics, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
Keyword(s):
Fuzzy Geometric Naive Bayes, Geometric Distribution, User’s Assessment, Virtual Reality.
Abstract:
Computational intelligence-based assessment systems have been proposed for implementation in virtual reality (VR) simulators to enhance technical proficiency in secure environments. Traditional training methods in healthcare, such as live subjects, cadavers, or mannequins, have limitations in reflecting realistic characteristics and deteriorate over time. Virtual reality-based assessment systems offer the advantage of check users skills in realistic and immersive training experiences, providing feedback at the end of the training. This paper presents a novel approach to assessment using a Single-User Assessment System (SUAS) that incorporates a Fuzzy Geometric Naive Bayes Network. The proposed method utilizes geometric distribution to model the fuzzy boundaries and assess the performance of gynecological examinations in a virtual reality simulator. The study evaluates the effectiveness of the proposed SUAS by comparing it with three other assessment methods. The results demonstrate t
he superior performance of the proposed method in accurately evaluating user performance in the simulated gynecological examinations.
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