SCIENCE CHINA Information Sciences, Volume 63 , Issue 11 : 214101(2020) https://doi.org/10.1007/s11432-019-1466-7

Reading comprehension based on visualization of eye tracking and EEG data

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  • ReceivedFeb 25, 2019
  • AcceptedJul 26, 2019
  • PublishedOct 10, 2020


There is no abstract available for this article.


This work was supported by National Natural Science Foundation of China (Grant No. 61772468) and Fundamental Research Funds for the Provincial Universities of Zhejiang (Grant No. RF-B2019001).


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[1] Cheng S W, Sun Z Q, Sun L Y, et al. Gaze-based annotations for reading comprehension. In: Proceedings of ACM Conference on Human Factors in Computing Systems, Seoul, 2015. 1569--1572. Google Scholar

[2] Ferreira A, Celeste W C, Cheein F A. Human-machine interfaces based on EMG and EEG applied to robotic systems.. J NeuroEng Rehabil, 2008, 5: 10 CrossRef PubMed Google Scholar

[3] Szafir D, Mutlu B. Pay attention Designing adaptive agents that monitor and improve user engagement. In: Proceedings of SIGCHI Conference on Human Factors in Computing Systems, New York, 2012. 1580--1586. Google Scholar

[4] Marchesi M. BRAVO: a brain virtual operator for education exploiting brain-computer interfaces. In: Proceedings of CHI'13 Extended Abstracts on Human Factors in Computing Systems, Paris, 2013. 3091--3094. Google Scholar

[5] Huang J, Yu C, Wang Y T, et al. 2014. FOCUS: enhancing children's engagement in reading by using contextual BCI training sessions. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, Toronto, 2014. 1905--1908. Google Scholar

[6] Buscher G, Dengel A, Elst L V, et al. Generating and using gaze-based document annotations. In: Proceedings of CHI'08 Extended Abstracts on Human Factors in Computing Systems, Florence, 2008. 3045--3050. Google Scholar

[7] Guthrie J T, Wigfield A. Engagement and motivation in reading. Handbook Read Res, 2000, 3: 403--422. Google Scholar

[8] Merchant J, Morrissette R, Porterfield J L. Remote measurement of eye direction allowing subject motion over one cubic foot of space.. IEEE Trans Biomed Eng, 1974, BME-21: 309-317 CrossRef PubMed Google Scholar

  • Figure 1

    (Color online) (a) The usage scenario of prototype system; (b) teachers' visualizations of eye tracking and EEG data; (c) visualizations of difference between student's and teacher's eye tracking and EEG data; (d) example of engagement from teacher and student; (e) example of engagement difference for one student.

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