{"title":"不同视觉类型引导的范式界面对 MI-BCI 性能的影响","authors":"Jiang Shao, Yuxin Bai, Jun Yao, Ying Zhang, Fangyuan Tian, Chengqi Xue","doi":"10.1080/0144929x.2024.2312436","DOIUrl":null,"url":null,"abstract":"Visual paradigms of Brain-Computer Interfaces (BCI) for motor imagery (MI) tasks are the basis for communication through (electroencephalogram) EEG signals. During the MI-BCI user training process,...","PeriodicalId":55392,"journal":{"name":"Behaviour & Information Technology","volume":"57 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The influence of paradigm interface guided by different visual types on MI-BCI performance\",\"authors\":\"Jiang Shao, Yuxin Bai, Jun Yao, Ying Zhang, Fangyuan Tian, Chengqi Xue\",\"doi\":\"10.1080/0144929x.2024.2312436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Visual paradigms of Brain-Computer Interfaces (BCI) for motor imagery (MI) tasks are the basis for communication through (electroencephalogram) EEG signals. During the MI-BCI user training process,...\",\"PeriodicalId\":55392,\"journal\":{\"name\":\"Behaviour & Information Technology\",\"volume\":\"57 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behaviour & Information Technology\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1080/0144929x.2024.2312436\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behaviour & Information Technology","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1080/0144929x.2024.2312436","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
The influence of paradigm interface guided by different visual types on MI-BCI performance
Visual paradigms of Brain-Computer Interfaces (BCI) for motor imagery (MI) tasks are the basis for communication through (electroencephalogram) EEG signals. During the MI-BCI user training process,...
期刊介绍：
Behaviour & Information Technology (BIT) puts people before technology. As such it deviates from other related journals. It is the primary scientific venue for peer-reviewed publications on human-centred IT.
BIT reports original research studies, practical case studies, and thoughtful articles on:
• usability and user experience (UX)
• human computer interaction (HCI)
• human-centred and user-centred design
• the social, business and human aspects of the digital world.
The Journal attracts authors and readers from a variety of disciplines (e.g., usability, user experience, psychology, ergonomics, computer science, and sociology), originating from both academics and industry.
All papers are subject to initial appraisal by the Editor, and, if found suitable for further consideration, will undertake rigorous double blind peer review by independent, anonymous expert referees.
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