A Novel Fuzzy Geometric Naive Bayes Network for Online Skills Assessment in Training Based on Virtual Reality

Jodavid Ferreira, Jodavid Ferreira, Arthur Lopes, Liliane S. Machado, Liliane S. Machado, Ronei M. Moraes, Ronei M. Moraes

2023

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 the superior performance of the proposed method in accurately evaluating user performance in the simulated gynecological examinations.

Paper Citation

in Harvard Style

Ferreira J., Lopes A., S. Machado L. and M. Moraes R. (2023). A Novel Fuzzy Geometric Naive Bayes Network for Online Skills Assessment in Training Based on Virtual Reality. In Proceedings of the 15th International Joint Conference on Computational Intelligence - Volume 1: FCTA; ISBN 978-989-758-674-3, SciTePress, pages 395-401. DOI: 10.5220/0012211000003595

in Bibtex Style

@conference{fcta23,
author={Jodavid Ferreira and Arthur Lopes and Liliane S. Machado and Ronei M. Moraes},
title={A Novel Fuzzy Geometric Naive Bayes Network for Online Skills Assessment in Training Based on Virtual Reality},
booktitle={Proceedings of the 15th International Joint Conference on Computational Intelligence - Volume 1: FCTA},
year={2023},
pages={395-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012211000003595},
isbn={978-989-758-674-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computational Intelligence - Volume 1: FCTA
TI - A Novel Fuzzy Geometric Naive Bayes Network for Online Skills Assessment in Training Based on Virtual Reality
SN - 978-989-758-674-3
AU - Ferreira J.
AU - Lopes A.
AU - S. Machado L.
AU - M. Moraes R.
PY - 2023
SP - 395
EP - 401
DO - 10.5220/0012211000003595
PB - SciTePress