{"title":"AttentiveLearner:基于内隐认知状态推断的自适应移动MOOC学习","authors":"Xiang Xiao, Phuong Pham, Jingtao Wang","doi":"10.1145/2818346.2823297","DOIUrl":null,"url":null,"abstract":"This demo presents AttentiveLearner, a mobile learning system optimized for consuming lecture videos in Massive Open Online Courses (MOOCs) and flipped classrooms. AttentiveLearner uses on-lens finger gestures for video control and captures learners' physiological states through implicit heart rate tracking on unmodified mobile phones. Through three user studies to date, we found AttentiveLearner easy to learn, and intuitive to use. The heart beat waveforms captured by AttentiveLearner can be used to infer learners' cognitive states and attention. AttentiveLearner may serve as a promising supplemental feedback channel orthogonal to today's learning analytics technologies.","PeriodicalId":20486,"journal":{"name":"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"AttentiveLearner: Adaptive Mobile MOOC Learning via Implicit Cognitive States Inference\",\"authors\":\"Xiang Xiao, Phuong Pham, Jingtao Wang\",\"doi\":\"10.1145/2818346.2823297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This demo presents AttentiveLearner, a mobile learning system optimized for consuming lecture videos in Massive Open Online Courses (MOOCs) and flipped classrooms. AttentiveLearner uses on-lens finger gestures for video control and captures learners' physiological states through implicit heart rate tracking on unmodified mobile phones. Through three user studies to date, we found AttentiveLearner easy to learn, and intuitive to use. The heart beat waveforms captured by AttentiveLearner can be used to infer learners' cognitive states and attention. AttentiveLearner may serve as a promising supplemental feedback channel orthogonal to today's learning analytics technologies.\",\"PeriodicalId\":20486,\"journal\":{\"name\":\"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2818346.2823297\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2015 ACM on International Conference on Multimodal Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2818346.2823297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AttentiveLearner: Adaptive Mobile MOOC Learning via Implicit Cognitive States Inference
This demo presents AttentiveLearner, a mobile learning system optimized for consuming lecture videos in Massive Open Online Courses (MOOCs) and flipped classrooms. AttentiveLearner uses on-lens finger gestures for video control and captures learners' physiological states through implicit heart rate tracking on unmodified mobile phones. Through three user studies to date, we found AttentiveLearner easy to learn, and intuitive to use. The heart beat waveforms captured by AttentiveLearner can be used to infer learners' cognitive states and attention. AttentiveLearner may serve as a promising supplemental feedback channel orthogonal to today's learning analytics technologies.
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