A Modified Naive Bayes to Online Training Assessment in Virtual Reality Simulators
Training systems based on virtual reality are usedin several areas.In these systems the user is immersedinto a virtual world to have realistic training throughrealistic interactions.In such training is important toknow the quality of users training.Severalapproaches to perform assessment in trainingsimulators based on virtual reality have beenproposed.However,they did not present a satisfactorysolution for special cases as a bone marrow harvest inpatients with bones deteriorated by disease.In thispaper,we present an approach to online trainingassessment based on a Modified Naive BaTes,whichcan manipulate qualitative and quantitative variablessimultaneously.
Ronei Marcos de Moraes Liliane dos Santos Machado
Department of Statistics Federal University of Paraiba,Brazil Department of lnformaticsFederal University of Paraiba,Brazil
国际会议
厦门
英文
1373-1378
2008-11-17(万方平台首次上网日期,不代表论文的发表时间)