{"title":"使用EMASPEL框架的实时情感学习者概况分析","authors":"Mohamed Neji, M. Ben Ammar, A. Alimi","doi":"10.1109/EDUCON.2011.5773210","DOIUrl":null,"url":null,"abstract":"This paper deals with the problem of Information Retrieval System (IRS) that integrate the user profile that contains novelty dimensions such as psychological state, emotional state, mental state and facial expression. In this paper, we propose an information retrieval system based on human behavior. The architecture of the proposed system is described in details. This IRS will be integrated in EMASPEL E-Learning Framework.","PeriodicalId":146973,"journal":{"name":"2011 IEEE Global Engineering Education Conference (EDUCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Real-time affective learner profile analysis using an EMASPEL framework\",\"authors\":\"Mohamed Neji, M. Ben Ammar, A. Alimi\",\"doi\":\"10.1109/EDUCON.2011.5773210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the problem of Information Retrieval System (IRS) that integrate the user profile that contains novelty dimensions such as psychological state, emotional state, mental state and facial expression. In this paper, we propose an information retrieval system based on human behavior. The architecture of the proposed system is described in details. This IRS will be integrated in EMASPEL E-Learning Framework.\",\"PeriodicalId\":146973,\"journal\":{\"name\":\"2011 IEEE Global Engineering Education Conference (EDUCON)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Global Engineering Education Conference (EDUCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDUCON.2011.5773210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Global Engineering Education Conference (EDUCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDUCON.2011.5773210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time affective learner profile analysis using an EMASPEL framework
This paper deals with the problem of Information Retrieval System (IRS) that integrate the user profile that contains novelty dimensions such as psychological state, emotional state, mental state and facial expression. In this paper, we propose an information retrieval system based on human behavior. The architecture of the proposed system is described in details. This IRS will be integrated in EMASPEL E-Learning Framework.