P. Lali, Maryam Naghizadeh, H. Nasrollahi, Hadi Moradi, M. Mirian
{"title":"Your mouse can tell about your emotions","authors":"P. Lali, Maryam Naghizadeh, H. Nasrollahi, Hadi Moradi, M. Mirian","doi":"10.1109/ICCKE.2014.6993360","DOIUrl":null,"url":null,"abstract":"Automatic detection of the human emotion is an important area in computer science and psychology to develop adaptive Human-Computer Interaction (HCI). In this paper, a novel approach is proposed to extract a user's pleasure during English comprehension. The approach is based on processing the mouse movement data during the interaction with the system and determining whether or not the user enjoys reading the text or answering the questions. The approach has been implemented and the result shows adequate accuracy in determining the emotional state of the user. This study shows that it is important to consider the emotional momentum and its persistence over a period of time in determining the emotional state at any given time.","PeriodicalId":152540,"journal":{"name":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCKE.2014.6993360","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
Automatic detection of the human emotion is an important area in computer science and psychology to develop adaptive Human-Computer Interaction (HCI). In this paper, a novel approach is proposed to extract a user's pleasure during English comprehension. The approach is based on processing the mouse movement data during the interaction with the system and determining whether or not the user enjoys reading the text or answering the questions. The approach has been implemented and the result shows adequate accuracy in determining the emotional state of the user. This study shows that it is important to consider the emotional momentum and its persistence over a period of time in determining the emotional state at any given time.