{"title":"ReadGoGo !:面向实时通知读者的关注状态","authors":"M. Eid, Andres Fernandez","doi":"10.1109/ICAT.2013.6684047","DOIUrl":null,"url":null,"abstract":"In this paper we present ReadGoGo!, a system that reminds readers when they are not focusing on the texts at hand. Towards developing such real-time system, we used a commercial ECG device, Mindwave by NeuroSky, to measure the attention level of readers, and combine the measurement with visual-based information. Existing related works involve only clinical experiments using EEG sensors to understand brain activities from specific set-ups. Little has been done to distinguish mental states between focusing and losing focus on word texts. In addition, there exist few market solutions, and most of them are not automated. The proposed system can automatically remind the reader when she/he is losing focus and eventually help the reader to quickly regain his/her focus on the text at hand. The implementation and usability analysis has demonstrated the ability of the proposed system to help readers regain attention during reading sessions.","PeriodicalId":348701,"journal":{"name":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"ReadGoGo!: Towards real-time notification on readers' state of attention\",\"authors\":\"M. Eid, Andres Fernandez\",\"doi\":\"10.1109/ICAT.2013.6684047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present ReadGoGo!, a system that reminds readers when they are not focusing on the texts at hand. Towards developing such real-time system, we used a commercial ECG device, Mindwave by NeuroSky, to measure the attention level of readers, and combine the measurement with visual-based information. Existing related works involve only clinical experiments using EEG sensors to understand brain activities from specific set-ups. Little has been done to distinguish mental states between focusing and losing focus on word texts. In addition, there exist few market solutions, and most of them are not automated. The proposed system can automatically remind the reader when she/he is losing focus and eventually help the reader to quickly regain his/her focus on the text at hand. The implementation and usability analysis has demonstrated the ability of the proposed system to help readers regain attention during reading sessions.\",\"PeriodicalId\":348701,\"journal\":{\"name\":\"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAT.2013.6684047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAT.2013.6684047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ReadGoGo!: Towards real-time notification on readers' state of attention
In this paper we present ReadGoGo!, a system that reminds readers when they are not focusing on the texts at hand. Towards developing such real-time system, we used a commercial ECG device, Mindwave by NeuroSky, to measure the attention level of readers, and combine the measurement with visual-based information. Existing related works involve only clinical experiments using EEG sensors to understand brain activities from specific set-ups. Little has been done to distinguish mental states between focusing and losing focus on word texts. In addition, there exist few market solutions, and most of them are not automated. The proposed system can automatically remind the reader when she/he is losing focus and eventually help the reader to quickly regain his/her focus on the text at hand. The implementation and usability analysis has demonstrated the ability of the proposed system to help readers regain attention during reading sessions.