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Exploiting eye tracking in advanced e-learning systems

Published: 22 June 2012 Publication History

Abstract

This paper has a twofold purpose. First, it proposes a short review of e-learning systems directly or indirectly connected with eye tracking technology. Secondly, it describes the research we are currently carrying out at the University of Pavia whose main goal is the development of an e-learning platform in which eye data are exploited to obtain information about the student's "emotional" and "cognitive" states. The outcome of the preliminary tests presented in this work will be the starting point for further, more thorough experiments.

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    cover image ACM Other conferences
    CompSysTech '12: Proceedings of the 13th International Conference on Computer Systems and Technologies
    June 2012
    440 pages
    ISBN:9781450311939
    DOI:10.1145/2383276
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 22 June 2012

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    Author Tags

    1. e-learning
    2. eye tracking
    3. human factors

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    • (2023)Gaze-Based Human–Computer Interaction for Museums and Exhibitions: Technologies, Applications and Future PerspectivesElectronics10.3390/electronics1214306412:14(3064)Online publication date: 13-Jul-2023
    • (2023)Investigation of Complexity Impact on Learning Behaviour for Personalised e-learning: Eye-Tracking Perspective2023 IEEE Smart World Congress (SWC)10.1109/SWC57546.2023.10448843(854-860)Online publication date: 28-Aug-2023
    • (2021)Endogenous Eye Blinking Rate to Support Human–Automation Interaction for E-Learning Multimedia Content SpecificationEducation Sciences10.3390/educsci1102004911:2(49)Online publication date: 28-Jan-2021
    • (2020)Implementation of real-time online mouse tracking on overseas quiz sessionEducation and Information Technologies10.1007/s10639-020-10141-3Online publication date: 6-Mar-2020
    • (2019)Eye Tracking Applications for E-Learning PurposesCognitive Computing in Technology-Enhanced Learning10.4018/978-1-5225-9031-6.ch007(151-174)Online publication date: 2019
    • (2019)Towards demographic categorization using gaze analysisPattern Recognition Letters10.1016/j.patrec.2015.08.01882:P2(226-231)Online publication date: 6-Jan-2019
    • (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
    • (2018)Mining Learning Styles for Personalised eLearning2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/SmartWorld.2018.00204(1175-1180)Online publication date: Oct-2018
    • (2018)An Experimental Study of Learning Behaviour in an ELearning Environment2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)10.1109/HPCC/SmartCity/DSS.2018.00231(1398-1403)Online publication date: Jun-2018
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