{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:59:33Z","timestamp":1709834373720},"reference-count":20,"publisher":"World Scientific Pub Co Pte Lt","issue":"06","funder":[{"name":"eFran METAL"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2018,9]]},"abstract":" Many recommenders compute predictions by inferring the users\u2019 preferences. However, in some cases, such as in e-education, the recommendations of pedagogical resources should rather be based on users\u2019 memory. In order to estimate in real time and with low involvement what has been recalled by users, we designed a user study to highlight the link between gaze features and visual memory. Our protocol consisted in asking different subjects to remember a large set of images. During this memory test, we collected about 19 000 fixation points. Among other results, we show in this paper a strong correlation between the relative path angles and the memorized items. We then applied various classifiers and showed that it is possible to predict the users\u2019 memory status by analyzing their gaze data. This is the first step so as to provide recommendations that fits users\u2019 learning curve. <\/jats:p>","DOI":"10.1142\/s021821301850029x","type":"journal-article","created":{"date-parts":[[2018,10,3]],"date-time":"2018-10-03T04:11:27Z","timestamp":1538539887000},"page":"1850029","source":"Crossref","is-referenced-by-count":4,"title":["First Attempt to Predict User Memory from Gaze Data"],"prefix":"10.1142","volume":"27","author":[{"given":"Florian","family":"Marchal","sequence":"first","affiliation":[{"name":"University of Lorraine \u2013 CNRS \u2013 LORIA, Campus Scientifique B. 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