{"title":"Évaluation du modèle computationnel d'émotions iGrace","authors":"Sébastien Saint-Aimé, B. L. Pévédic, D. Duhaut","doi":"10.1145/1629826.1629857","DOIUrl":null,"url":null,"abstract":"This article presents research in Robotherapy, in the form of the EmotiRob project which aims at comforting children with various disabilities by the means of an emotional robot companion. We propose a computational model for emotional experiences using non-verbal emotional interactions between a child and its robot-companion. The iGrace model was defined for the EmotiRob project and allows the generation of behaviors using data from speech understanding. We will present the information processing steps and the first results obtained from using a simulator for facial expressions, appropriate to the model.","PeriodicalId":131420,"journal":{"name":"Interaction Homme-Machine","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interaction Homme-Machine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1629826.1629857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This article presents research in Robotherapy, in the form of the EmotiRob project which aims at comforting children with various disabilities by the means of an emotional robot companion. We propose a computational model for emotional experiences using non-verbal emotional interactions between a child and its robot-companion. The iGrace model was defined for the EmotiRob project and allows the generation of behaviors using data from speech understanding. We will present the information processing steps and the first results obtained from using a simulator for facial expressions, appropriate to the model.