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Tell Me What You See, I Will Tell You What You Remember

Florian Marchal 1 Sylvain Castagnos 1 Anne Boyer 1
1 KIWI - Knowledge Information and Web Intelligence
LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : Recommender systems usually rely on users’ preferences. Nevertheless, there are many situations, such as in intelligent tutoring systems, where recommendations of pedagogical resources should rather be based on their memory. So as to infer in real time and with low involvement what has been memorized by users, we propose in this paper to establish a link between gaze features and visual memory. We designed a user experiment where 24 subjects had to remember 72 images. In the meantime, we collected 18,643 fixation points. Among other metrics, our results show a strong correlation between the relative path angles and the memorized items. It is thus possible to predict the users’ memory status by analyzing their gaze data while interacting with the system, so as to provide recommendations that fits their learning curve.
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https://hal.inria.fr/hal-01305030
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Submitted on : Monday, May 2, 2016 - 3:51:09 PM
Last modification on : Tuesday, September 17, 2019 - 10:38:34 AM
Long-term archiving on: : Tuesday, May 24, 2016 - 5:54:08 PM

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Florian Marchal, Sylvain Castagnos, Anne Boyer. Tell Me What You See, I Will Tell You What You Remember. 24th Conference on User Modeling, Adaptation and Personalization (UMAP'16), Jul 2016, Halifax, Canada. ⟨hal-01305030⟩

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