Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. A. Spapé, M. Eugster, N. Ravaja, Samuel Kaski, Giulio Jacucci
{"title":"BCI生理文本注释","authors":"Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. A. Spapé, M. Eugster, N. Ravaja, Samuel Kaski, Giulio Jacucci","doi":"10.1145/3038439.3038445","DOIUrl":null,"url":null,"abstract":"Automatic annotation of media content has become a critically important task for many digital services as the quantity of available online media content has grown exponentially. One approach is to annotate the content using the physiological responses of the media consumer. In the present paper, we reflect on three case studies that use brain signals for implicit text annotation to discuss the challenges faced when bringing passive brain-computer interfaces for physiological text annotation to the real world.","PeriodicalId":285683,"journal":{"name":"BCIforReal '17","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"BCI for Physiological Text Annotation\",\"authors\":\"Oswald Barral, Ilkka Kosunen, Tuukka Ruotsalo, Michiel M. A. Spapé, M. Eugster, N. Ravaja, Samuel Kaski, Giulio Jacucci\",\"doi\":\"10.1145/3038439.3038445\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic annotation of media content has become a critically important task for many digital services as the quantity of available online media content has grown exponentially. One approach is to annotate the content using the physiological responses of the media consumer. In the present paper, we reflect on three case studies that use brain signals for implicit text annotation to discuss the challenges faced when bringing passive brain-computer interfaces for physiological text annotation to the real world.\",\"PeriodicalId\":285683,\"journal\":{\"name\":\"BCIforReal '17\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BCIforReal '17\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3038439.3038445\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BCIforReal '17","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3038439.3038445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic annotation of media content has become a critically important task for many digital services as the quantity of available online media content has grown exponentially. One approach is to annotate the content using the physiological responses of the media consumer. In the present paper, we reflect on three case studies that use brain signals for implicit text annotation to discuss the challenges faced when bringing passive brain-computer interfaces for physiological text annotation to the real world.