• DocumentCode
    654088
  • Title

    ReadGoGo!: Towards real-time notification on readers´ state of attention

  • Author

    Eid, Mohamad ; Fernandez, Alicia

  • Author_Institution
    Appl. Interactive Multimedia Lab. - AIMLab, New York Univ. Abu Dhabi, Abu Dhabi, United Arab Emirates
  • fYear
    2013
  • fDate
    Oct. 30 2013-Nov. 1 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we present ReadGoGo!, a system that reminds readers when they are not focusing on the texts at hand. Towards developing such real-time system, we used a commercial ECG device, Mindwave by NeuroSky, to measure the attention level of readers, and combine the measurement with visual-based information. Existing related works involve only clinical experiments using EEG sensors to understand brain activities from specific set-ups. Little has been done to distinguish mental states between focusing and losing focus on word texts. In addition, there exist few market solutions, and most of them are not automated. The proposed system can automatically remind the reader when she/he is losing focus and eventually help the reader to quickly regain his/her focus on the text at hand. The implementation and usability analysis has demonstrated the ability of the proposed system to help readers regain attention during reading sessions.
  • Keywords
    cognition; electroencephalography; EEG sensors; Mindwave; NeuroSky; ReadGoGo!; brain activities; commercial ECG device; reader attention state; reading sessions; real-time notification; real-time system; usability analysis; visual-based information measurement; Cameras; Computers; Electroencephalography; Focusing; Sensors; Usability; Visualization; Biofeedback; EEG sensors; Real Time attention monitoring; intelligent reading;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communication and Automation Technologies (ICAT), 2013 XXIV International Symposium on
  • Conference_Location
    Sarajevo
  • Type

    conf

  • DOI
    10.1109/ICAT.2013.6684047
  • Filename
    6684047