Article

e5Learning, an E-Learning Environment Based on Eye Tracking

Authors:

Clara Calvi,

Marco Porta,

Dario SacchiAuthors Info & Claims

ICALT '08: Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies

Pages 376 - 380

https://doi.org/10.1109/ICALT.2008.35

Published: 01 July 2008 Publication History

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Abstract

Users’ eyes can be a meaningful source of information for e-learning systems. What we look at, and the way we do that, can in fact be exploited to improve the learning process, disclosing information which would otherwise remain concealed. In this paper we describe an e-learning environment where eye tracking is used to observe user behavior, in order to adapt content presentation in real-time. To achieve such purpose, we consider both the way learning activities are carried out and those eye signals that can be related to the user’s “emotional states”.

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Singh CYadav DLee J(2018)Reader comprehension ranking by monitoring eye gaze using eye trackerInternational Journal of Intelligent Systems Technologies and Applications10.1504/IJISTA.2014.06883113:4(294-307)Online publication date: 16-Dec-2018
https://dl.acm.org/doi/10.1504/IJISTA.2014.068831
Parikh SKalva HMitrovic TZhang JChen LChin D(2018)Predicting Learning Difficulty Based on Gaze and Pupil ResponseAdjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization10.1145/3213586.3226224(131-135)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3213586.3226224
Ivanović MKlašnja-Milićević AIvković JPorta MZdravkova KEleftherakis GKefalas P(2017)Integration of Eye Tracking Technologies and Methods in an E-learning SystemProceedings of the 8th Balkan Conference in Informatics10.1145/3136273.3136278(1-4)Online publication date: 20-Sep-2017
https://dl.acm.org/doi/10.1145/3136273.3136278
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Index Terms

e5Learning, an E-Learning Environment Based on Eye Tracking
1. Applied computing
  1. Education

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ICALT '08: Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies

July 2008

1081 pages

ISBN:9780769531670

Publisher

IEEE Computer Society

United States

Publication History

Published: 01 July 2008

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Singh CYadav DLee J(2018)Reader comprehension ranking by monitoring eye gaze using eye trackerInternational Journal of Intelligent Systems Technologies and Applications10.1504/IJISTA.2014.06883113:4(294-307)Online publication date: 16-Dec-2018
https://dl.acm.org/doi/10.1504/IJISTA.2014.068831
Parikh SKalva HMitrovic TZhang JChen LChin D(2018)Predicting Learning Difficulty Based on Gaze and Pupil ResponseAdjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization10.1145/3213586.3226224(131-135)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3213586.3226224
Ivanović MKlašnja-Milićević AIvković JPorta MZdravkova KEleftherakis GKefalas P(2017)Integration of Eye Tracking Technologies and Methods in an E-learning SystemProceedings of the 8th Balkan Conference in Informatics10.1145/3136273.3136278(1-4)Online publication date: 20-Sep-2017
https://dl.acm.org/doi/10.1145/3136273.3136278
Cantoni VPerez CPorta MRicotti S(2012)Exploiting eye tracking in advanced e-learning systemsProceedings of the 13th International Conference on Computer Systems and Technologies10.1145/2383276.2383331(376-383)Online publication date: 22-Jun-2012
https://dl.acm.org/doi/10.1145/2383276.2383331
Yang MCheng YShih Y(2011)Facial expression recognition for learning status analysisProceedings of the 14th international conference on Human-computer interaction: users and applications - Volume Part IV10.5555/2027819.2027838(131-138)Online publication date: 9-Jul-2011
https://dl.acm.org/doi/10.5555/2027819.2027838

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Implementing eye-based user-aware e-learning

Eye, Head and Torso Coordination During Gaze Shifts in Virtual Reality

Empathic tutoring software agents using real-time eye tracking

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