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

Stylianos Asteriadis; Kostas Karpouzis; Stefanos Kollias

doi:10.1007/978-3-642-02574-7_3

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 proceeding › Chapter › Academic

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 language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	22-29
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-02574-7_3
Publication status	Published - 2009
Externally published	Yes

Publication series

Series	Lecture Notes in Computer Science
Volume	5610 LNCS

Keywords

Eye Gaze
Facial Feature tracking
Head Pose
User engagement

Access to Document

10.1007/978-3-642-02574-7_3

http://www.mendeley.com/research/feature-extraction-selection-inferring-user-engagement-hci-environment

Cite this

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title = "Feature extraction and selection for inferring user engagement in an hci environment",

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.",

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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). Lecture Notes in Computer Science, vol. 5610 LNCS, pp. 22-29. https://doi.org/10.1007/978-3-642-02574-7_3

Feature extraction and selection for inferring user engagement in an hci environment. / Asteriadis, Stylianos; Karpouzis, Kostas; Kollias, Stefanos.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2009. p. 22-29 (Lecture Notes in Computer Science, Vol. 5610 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

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