H. T. Chaminda, Achini Basnayake, A. Madurapperuma, M. Osano
{"title":"An Interactive E-learning System Using Kansei Engineering","authors":"H. T. Chaminda, Achini Basnayake, A. Madurapperuma, M. Osano","doi":"10.1109/ICBAKE.2009.49","DOIUrl":null,"url":null,"abstract":"An important issue faced today in any on-line system is to determine the users’ states of emotions regarding the situation. It is possible to identify user’s emotions while interacting face to face by observing their conditions, and assign a suitable level of tasks to the user. But it is very much difficult to identify the user’s state of emotion when he or she is not in front of teacher when communicating is in progress. Kansei Engineering is used in this research, to achieve a solution to this problem. Learner’s knowledge level of the lesson and emotional level are considered as key parameters to measure the status of the learner. These measurements are used as key points to enhance the experience of the learner, who is interacting with the E-Learning system. The E-Learning system supports in customized ways to the learner, to improve knowledge and manage emotions effectively.","PeriodicalId":137627,"journal":{"name":"2009 International Conference on Biometrics and Kansei Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Biometrics and Kansei Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBAKE.2009.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
An important issue faced today in any on-line system is to determine the users’ states of emotions regarding the situation. It is possible to identify user’s emotions while interacting face to face by observing their conditions, and assign a suitable level of tasks to the user. But it is very much difficult to identify the user’s state of emotion when he or she is not in front of teacher when communicating is in progress. Kansei Engineering is used in this research, to achieve a solution to this problem. Learner’s knowledge level of the lesson and emotional level are considered as key parameters to measure the status of the learner. These measurements are used as key points to enhance the experience of the learner, who is interacting with the E-Learning system. The E-Learning system supports in customized ways to the learner, to improve knowledge and manage emotions effectively.