References
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
Ferreira A, Celeste W C, Cheein F A, et al. Human-machine interfaces based on EMG and EEG applied to robotic systems. J Neuroeng Rehabil, 2008, 5: 10
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
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
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
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
Guthrie J T, Wigfield A. Engagement and motivation in reading. Handbook Read Res, 2000, 3: 403–422
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, 21: 309–317
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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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Cheng, S., Hu, Y., Fan, J. et al. Reading comprehension based on visualization of eye tracking and EEG data. Sci. China Inf. Sci. 63, 214101 (2020). https://doi.org/10.1007/s11432-019-1466-7
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DOI: https://doi.org/10.1007/s11432-019-1466-7