Self-tracking has been long discussed, which can monitor daily activities and help users to recall previous experiences. Such data-capturing technique is no longer limited to photos, text messages, or personal diaries in recent years. With the development of wearable EEG devices, we introduce a novel modality of logging EEG data while listening to music, and bring up the idea of the neural-centric way of life with the designed data analysis application named EEGLog. Four consumer-grade wearable EEG devices are explored by collecting EEG data from 24 participants. Three modules are introduced in EEGLog, including the summary module of EEG data, emotion reports, music listening activities, and memorial moments, the emotion detection module, and the music recommendation module. Feedback from interviews about using EEG devices and EEGLog were obtained and analyzed for future EEG logging development.
翻译:长期讨论自我跟踪问题,可以监测日常活动,帮助用户回顾以往的经验。近年来,这种数据采集技术不再局限于照片、短信或个人日记。随着可磨损的 EEG 设备的开发,我们引入了一种新的记录 EEEG 数据的新模式,同时聆听音乐,并通过设计的数据分析应用程序EEGLog提出以神经为中心的生活方式概念。通过收集24名参与者的 EEEG 数据,探索了四种消费者级可磨损 EEEG 设备。在EEEGLog 中引入了三个模块,包括 EEG 数据、情感报告、音乐监听活动、纪念时刻、情感检测模块和音乐建议模块的汇总模块。通过访谈获得关于使用 EEG 设备和 EEGLog 的反馈,并为今后的 EEEG 记录开发进行了分析。