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

Abstract

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)
Pages22-29
Number of pages8
DOIs
Publication statusPublished - 2009
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science
Volume5610 LNCS

Keywords

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

Cite this

Asteriadis, S., Karpouzis, K., & Kollias, S. (2009). Feature extraction and selection for inferring user engagement in an hci environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 22-29). Lecture Notes in Computer Science, Vol.. 5610 LNCS https://doi.org/10.1007/978-3-642-02574-7_3