{"title":"Unveiling affective signals","authors":"E. Broek, A. Nijholt, J. Westerink","doi":"10.1145/1931344.1931350","DOIUrl":null,"url":null,"abstract":"The ability to process and, subsequently, understand affective signals is the core of emotional intelligence and empathy. However, more than a decade of research in affective computing has shown that it is hard to develop computational models of this process. We pose that the solution for this problem lays in a better understanding of how to process these affective signals. This article introduces a symposium that brought together various approaches towards unveiling affective signals. As such, it is envisioned to be a springboard for affective computing.","PeriodicalId":92837,"journal":{"name":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","volume":"32 1","pages":"6:1-6:4"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Measuring Behavior 2016 : 10th International Conference on Methods and Techniques in Behavioral Research. International Conference on Methods and Techniques in Behavioral Research (10th : 2016 : Dublin, Ireland)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1931344.1931350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The ability to process and, subsequently, understand affective signals is the core of emotional intelligence and empathy. However, more than a decade of research in affective computing has shown that it is hard to develop computational models of this process. We pose that the solution for this problem lays in a better understanding of how to process these affective signals. This article introduces a symposium that brought together various approaches towards unveiling affective signals. As such, it is envisioned to be a springboard for affective computing.