User attention analysis for e-learning systems using gaze and speech information

Author

Ugurlu, Yucel

Author_Institution

Dept. of Creative Inf., Univ. of Tokyo, Tokyo, Japan

Volume

1

fYear

2014

fDate

26-28 April 2014

Firstpage

1

Lastpage

5

Abstract

In this paper, a practical approach to detecting user attention for online learning systems using gaze and speech activity information is proposed. A portable camera and microphone system to acquire human-computer interaction data is used in this approach. User attentiveness is classified into three categories: attentive, inattentive-not looking, and inattentive-speaking. Experimental results show that the proposed system clearly differentiates the attention level of users that participate in e-learning sessions. The proposed system is suitable for realtime applications.

Keywords

cameras; computer aided instruction; gaze tracking; human factors; speech processing; attention analysis; e-learning sessions; e-learning systems; gaze activity information; human-computer interaction data; inattentive-not looking; inattentive-speaking; online learning systems; portable camera and microphone system; speech activity information; user attention detection; user attentiveness; Electronic learning; Human computer interaction; Pattern matching; Speech; Speech processing; Speech recognition; Human-computer interaction (HCI); attentiveness; e-learning; pattern recognition; speech activity detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on

Conference_Location

Sapporo

Print_ISBN

978-1-4799-3196-5

Type

conf

DOI

10.1109/InfoSEEE.2014.6948154

Filename

6948154