Feature extraction and selection for inferring user engagement in an hci environment

Stylianos Asteriadis, Kostas Karpouzis, Stefanos Kollias

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic


In this paper, we present our work towards estimating the engage- ment of a person to the displayed information of a computer monitor. Deciding whether a user is attentive or not, and frustrated or not, helps adapting the dis- played information of a computer in special environments, such as e-learning. The aim of the current work is the development of a method that can work user- independently, without necessitating special lighting conditions and with only requirements in terms of hardware, a computer and a web-camera.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages8
Publication statusPublished - 2009
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science
Volume5610 LNCS


  • Eye Gaze
  • Facial Feature tracking
  • Head Pose
  • User engagement


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