{"title":"情感调酒师——情感线索及其在会话代理中的应用","authors":"M. Skowron, G. Paltoglou","doi":"10.1109/WACI.2011.5953152","DOIUrl":null,"url":null,"abstract":"This paper presents methods for the detection of textual expressions of users' affective states and explores an application of these affective cues in a conversational system — Affect Bartender. We also describe the architecture of the system, core system components and a range of developed communication interfaces. The application of the described methods is illustrated with examples of dialogs conducted with experiment participants in a Virtual Reality setting.","PeriodicalId":319764,"journal":{"name":"2011 IEEE Workshop on Affective Computational Intelligence (WACI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Affect Bartender — Affective cues and their application in a conversational agent\",\"authors\":\"M. Skowron, G. Paltoglou\",\"doi\":\"10.1109/WACI.2011.5953152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents methods for the detection of textual expressions of users' affective states and explores an application of these affective cues in a conversational system — Affect Bartender. We also describe the architecture of the system, core system components and a range of developed communication interfaces. The application of the described methods is illustrated with examples of dialogs conducted with experiment participants in a Virtual Reality setting.\",\"PeriodicalId\":319764,\"journal\":{\"name\":\"2011 IEEE Workshop on Affective Computational Intelligence (WACI)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Workshop on Affective Computational Intelligence (WACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WACI.2011.5953152\",\"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 Workshop on Affective Computational Intelligence (WACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WACI.2011.5953152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Affect Bartender — Affective cues and their application in a conversational agent
This paper presents methods for the detection of textual expressions of users' affective states and explores an application of these affective cues in a conversational system — Affect Bartender. We also describe the architecture of the system, core system components and a range of developed communication interfaces. The application of the described methods is illustrated with examples of dialogs conducted with experiment participants in a Virtual Reality setting.
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