Paper on computational model of user’s attention

Paper on computational model of user’s attention

Marko Meža, Janja Košir, Gregor Strle, and Andrej Košir: Towards Automatic Real-Time Estimation of Observed Learner’s Attention Using Psychophysiological and Affective Signals: The Touch-Typing Study Case

This article presents an experimental study on the real-time estimation of observed learners’ attention given the task of touch-typing. The aim is to examine whether the observed attention estimates gathered from human raters can be computationally modeled in real time, based on the learner’s psychophysiological and affective signals. A key observation from this study is that the observed attention varies continuously and throughout the task.


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Head: Professor Andrej Košir

User-adapted Communication and Ambient Intelligence Lab (LUCAMI)
Faculty of Electrical Engineering, University of Ljubljana
Tržaška 25, 1001 Ljubljana

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