Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download
Contributor : Sylvain Castagnos Connect in order to contact the contributor
Submitted on : Monday, May 2, 2016 - 3:51:09 PM
Last modification on : Wednesday, May 4, 2022 - 12:32:02 PM
Long-term archiving on: : Tuesday, May 24, 2016 - 5:54:08 PM


Files produced by the author(s)


  • HAL Id : hal-01305030, version 1



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⟩



Record views


Files downloads