{"title":"评估基于评价的情绪模型的有效性","authors":"J. Gratch, S. Marsella, Ning Wang, B. Stankovic","doi":"10.1109/ACII.2009.5349443","DOIUrl":null,"url":null,"abstract":"We describe an empirical study comparing the accuracy of competing computational models of emotion in predicting human emotional responses in naturalistic emotion-eliciting situations. The results find clear differences in models' ability to forecast human emotional responses, and provide guidance on how to develop more accurate models of human emotion.","PeriodicalId":330737,"journal":{"name":"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"57","resultStr":"{\"title\":\"Assessing the validity of appraisal-based models of emotion\",\"authors\":\"J. Gratch, S. Marsella, Ning Wang, B. Stankovic\",\"doi\":\"10.1109/ACII.2009.5349443\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe an empirical study comparing the accuracy of competing computational models of emotion in predicting human emotional responses in naturalistic emotion-eliciting situations. The results find clear differences in models' ability to forecast human emotional responses, and provide guidance on how to develop more accurate models of human emotion.\",\"PeriodicalId\":330737,\"journal\":{\"name\":\"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"57\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACII.2009.5349443\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACII.2009.5349443","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessing the validity of appraisal-based models of emotion
We describe an empirical study comparing the accuracy of competing computational models of emotion in predicting human emotional responses in naturalistic emotion-eliciting situations. The results find clear differences in models' ability to forecast human emotional responses, and provide guidance on how to develop more accurate models of human emotion.