{"title":"Mindgame","authors":"Tongda Xu, Dinglu Wang, Xiaohui You","doi":"10.1145/3266037.3266083","DOIUrl":null,"url":null,"abstract":"This paper presents Mindgame, a reinforcement learning optimized neurofeedback mindfulness system. To avoid the potential bias and difficulties of designing mapping between neural signal and output, we adopt a trial-and-error learning method to explore the preferred mapping. In a pilot study we assess the effectiveness of Mindgame in mediating people's EEG alpha band. All participants' alpha band change towards the desired direction.","PeriodicalId":421706,"journal":{"name":"The 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3266037.3266083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents Mindgame, a reinforcement learning optimized neurofeedback mindfulness system. To avoid the potential bias and difficulties of designing mapping between neural signal and output, we adopt a trial-and-error learning method to explore the preferred mapping. In a pilot study we assess the effectiveness of Mindgame in mediating people's EEG alpha band. All participants' alpha band change towards the desired direction.