{"title":"第四届社会情感多模态互动促进健康研讨会","authors":"Hiroki Tanaka, Satoshi Nakamura, Jean-Claude Martin, Catherine Pelachaud","doi":"10.1145/3577190.3616878","DOIUrl":null,"url":null,"abstract":"This workshop discusses how interactive, multimodal technology, such as virtual agents, can measure and train social-affective interactions. Sensing technology now enables analyzing users’ behaviors and physiological signals. Various signal processing and machine learning methods can be used for prediction tasks. Such social signal processing and tools can be applied to measure and reduce social stress in everyday situations, including public speaking at schools and workplaces.","PeriodicalId":93171,"journal":{"name":"Companion Publication of the 2020 International Conference on Multimodal Interaction","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"4th Workshop on Social Affective Multimodal Interaction for Health (SAMIH)\",\"authors\":\"Hiroki Tanaka, Satoshi Nakamura, Jean-Claude Martin, Catherine Pelachaud\",\"doi\":\"10.1145/3577190.3616878\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This workshop discusses how interactive, multimodal technology, such as virtual agents, can measure and train social-affective interactions. Sensing technology now enables analyzing users’ behaviors and physiological signals. Various signal processing and machine learning methods can be used for prediction tasks. Such social signal processing and tools can be applied to measure and reduce social stress in everyday situations, including public speaking at schools and workplaces.\",\"PeriodicalId\":93171,\"journal\":{\"name\":\"Companion Publication of the 2020 International Conference on Multimodal Interaction\",\"volume\":\"2020 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Companion Publication of the 2020 International Conference on Multimodal Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3577190.3616878\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion Publication of the 2020 International Conference on Multimodal Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3577190.3616878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
4th Workshop on Social Affective Multimodal Interaction for Health (SAMIH)
This workshop discusses how interactive, multimodal technology, such as virtual agents, can measure and train social-affective interactions. Sensing technology now enables analyzing users’ behaviors and physiological signals. Various signal processing and machine learning methods can be used for prediction tasks. Such social signal processing and tools can be applied to measure and reduce social stress in everyday situations, including public speaking at schools and workplaces.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
