Gaze-Based Real-Time Adaptivity and Adaptability in an eLearning Environment: A Pre-release Insight

  • Holger Schmidt
  • Alexander Henka
  • Gottfried Zimmermann
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 498)

Abstract

As part of the ScienceCampus Tübingen, we conduct empirical research on learning strategies, in particular with regard to system adaptivity. For this purpose, we developed a web-based eLearning platform called ALM (Adaptive Learning Module) which adapts the learning content based on a real-time analysis of the user’s gaze data as observed by an eye-tracker. This paper describes work in progress and provides a technical insight on the state of our platform and how we plan to shape the application for the planned open-source release this fall. In addition to the technical overview, we provide application examples from actual research studies as well as a vision for the productive use of the learning environment for educational topics.

Keywords

Eye-Tracking Gaze-Tracking Gaze-Based interaction eLearning platform Eye movement Fixations Transitions Gaze events Eye movement modelling Eye movement analysis Gaze analysis Web-based eLearning 

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Holger Schmidt
    • 1
  • Alexander Henka
    • 1
  • Gottfried Zimmermann
    • 1
  1. 1.Responsive Media Experience Research Group (REMEX)Stuttgart Media UniversityStuttgartGermany

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