International Conference on Human-Computer Interaction

HCI 2015: HCI International 2015 - Posters’ Extended Abstracts pp 523-527

Using Eye Tracking as Human Computer Interaction Interface

Conference paper

DOI: 10.1007/978-3-319-21380-4_89

Part of the Communications in Computer and Information Science book series (CCIS, volume 528)
Cite this paper as:
Schmidt H., Zimmermann G. (2015) Using Eye Tracking as Human Computer Interaction Interface. In: Stephanidis C. (eds) HCI International 2015 - Posters’ Extended Abstracts. HCI 2015. Communications in Computer and Information Science, vol 528. Springer, Cham


In the project AAMS, we have developed the e-learning platform ALMforIlias as a technical basis for research in education. ALM uses eye tracking data to analyze a learner’s gaze movement at runtime in order to adapt the learning content. As an extension to the actual capabilities of the platform, we plan to implement and evaluate a framework for advanced eye tracking analysis techniques. This framework will focus on two main concepts. The first concept allows for real-time analysis of a user’s text reading status by artificial intelligence techniques, at any point in the learning process. This extends and enriches the adaptive behavior of our platform. The second concept is an interface framework for multimedia applications to connect to any eye tracking hardware that is available at runtime to be used as a user interaction input device. Since accuracy can be an issue for low-cost eye trackers, we use an object-specific relevance factor for the detection of selectable or related content.


Eye tracking e-learning platform Adaptivity Artificial intelligence High-level gaze events Real-time analysis Human computer interaction interface Relevance factor 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Stuttgart Media UniversityStuttgartGermany

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