{"title":"理解情感互动:情感、参与和网络视频","authors":"Shaowen Bardzell, Jeffrey Bardzell, Tyler M. Pace","doi":"10.1109/ACII.2009.5349551","DOIUrl":null,"url":null,"abstract":"As interest in experience and affect in HCI continues to grow, particularly with regard to social media and Web 2.0 technologies, research on techniques for evaluating user engagement is needed. This paper presents a study of popular Internet videos involving a mixed method approach to user engagement. Instruments included physiological measures, emotional self-report measures, and personally expressive techniques, such as open-ended prose reviews. Using triangulation to interpret the results, we express relationships among perceived emotion, experienced emotion, video preference, and contextual factors.","PeriodicalId":330737,"journal":{"name":"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops","volume":"174 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":"{\"title\":\"Understanding affective interaction: Emotion, engagement, and internet videos\",\"authors\":\"Shaowen Bardzell, Jeffrey Bardzell, Tyler M. Pace\",\"doi\":\"10.1109/ACII.2009.5349551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As interest in experience and affect in HCI continues to grow, particularly with regard to social media and Web 2.0 technologies, research on techniques for evaluating user engagement is needed. This paper presents a study of popular Internet videos involving a mixed method approach to user engagement. Instruments included physiological measures, emotional self-report measures, and personally expressive techniques, such as open-ended prose reviews. Using triangulation to interpret the results, we express relationships among perceived emotion, experienced emotion, video preference, and contextual factors.\",\"PeriodicalId\":330737,\"journal\":{\"name\":\"2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops\",\"volume\":\"174 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"36\",\"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.2009.5349551\",\"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.2009.5349551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding affective interaction: Emotion, engagement, and internet videos
As interest in experience and affect in HCI continues to grow, particularly with regard to social media and Web 2.0 technologies, research on techniques for evaluating user engagement is needed. This paper presents a study of popular Internet videos involving a mixed method approach to user engagement. Instruments included physiological measures, emotional self-report measures, and personally expressive techniques, such as open-ended prose reviews. Using triangulation to interpret the results, we express relationships among perceived emotion, experienced emotion, video preference, and contextual factors.