Any Problems? A Wearable Sensor-based Platform for Representational Learning-analytics.

Gerald Pirkl, Peter Hevesi, Paul Lukowicz, Pascal Klein, Carina Heisel, Sebastian Gröber, Jochen Kuhn, Bernhard Sick

In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) New York, NY, USA Seiten 353-356 UbiComp '16 ISBN 978-1-4503-4462-3 ACM 2016.


We describe in this work a sensor-based learning platform which supports both the teacher and the learner during exercises. We use a combination of eye tracker, sensor pen and exercise texts to capture the progress of learners. The eye tracker retrieves information about the gaze, for example reading or scanning for key words; the sensor pen captures trends like number of words or the pressure applied to the paper. Combining this information, the platform should be used to indicate problems of the learner to the teacher. Besides presenting the data information to the teacher, we work on advancing the platform to an adaptive system, which could give individual feedback to the learners themselves according to their individual cognitive and affective requirements.

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence