第四届社会情感多模态互动促进健康研讨会

Companion Publication of the 2020 International Conference on Multimodal Interaction Pub Date : 2023-10-09 DOI:10.1145/3577190.3616878

Hiroki Tanaka, Satoshi Nakamura, Jean-Claude Martin, Catherine Pelachaud

{"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}

引用次数: 0

摘要

本次研讨会将讨论交互式、多模式技术(如虚拟代理)如何测量和训练社会情感互动。传感技术现在可以分析用户的行为和生理信号。各种信号处理和机器学习方法可用于预测任务。这种社会信号处理和工具可以用于测量和减少日常情况下的社会压力，包括在学校和工作场所的公开演讲。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Companion Publication of the 2020 International Conference on Multimodal Interaction

自引率

0.00%

发文量