{"title":"在虚空中徘徊?:从脑电图上对内注意和外注意进行分类","authors":"F. Putze, Maximilian Scherer, Tanja Schultz","doi":"10.1145/2971485.2971555","DOIUrl":null,"url":null,"abstract":"For any HCI system, it would be a great advantage if it was aware of the attentional state of its user: Is he or she paying attention to external stimuli provided by the user's environment or is the user focusing his or her attention on internal mental tasks? In this paper, we propose a model for the discrimination of internal and external attention by using Electroencephalography. We describe the experiment we conducted to collect data of internal and external attention, describe our setup for classification and discuss the classifications results.","PeriodicalId":190768,"journal":{"name":"Proceedings of the 9th Nordic Conference on Human-Computer Interaction","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Starring into the void?: Classifying Internal vs. External Attention from EEG\",\"authors\":\"F. Putze, Maximilian Scherer, Tanja Schultz\",\"doi\":\"10.1145/2971485.2971555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For any HCI system, it would be a great advantage if it was aware of the attentional state of its user: Is he or she paying attention to external stimuli provided by the user's environment or is the user focusing his or her attention on internal mental tasks? In this paper, we propose a model for the discrimination of internal and external attention by using Electroencephalography. We describe the experiment we conducted to collect data of internal and external attention, describe our setup for classification and discuss the classifications results.\",\"PeriodicalId\":190768,\"journal\":{\"name\":\"Proceedings of the 9th Nordic Conference on Human-Computer Interaction\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 9th Nordic Conference on Human-Computer Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2971485.2971555\",\"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 9th Nordic Conference on Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2971485.2971555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Starring into the void?: Classifying Internal vs. External Attention from EEG
For any HCI system, it would be a great advantage if it was aware of the attentional state of its user: Is he or she paying attention to external stimuli provided by the user's environment or is the user focusing his or her attention on internal mental tasks? In this paper, we propose a model for the discrimination of internal and external attention by using Electroencephalography. We describe the experiment we conducted to collect data of internal and external attention, describe our setup for classification and discuss the classifications results.