Emotion recognition and communication for reducing second-language speaking anxiety in a web-based one-to-one synchronous learning environment

Chih Ming Chen, Chin-Ming Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In the language education field, many studies have investigated anxiety associated with learning a second language, noting that anxiety has an adverse effect on the performance of those speaking English as a second language. Accordingly, this study develops an embedded human-emotion-recognition system based on human pulse signals for detecting three human emotions-nervousness, peace, and joy-to help teachers reduce language-learning anxiety of individual learners in a one-to-one synchronous Web-based learning environment. Experimental results indicate that the proposed embedded human-emotion- recognition system is helpful in reducing language-based anxiety and promotes instruction effectiveness in English conversation classes.

Original languageEnglish
Title of host publicationAdvances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks, ISNN 2010, Proceedings
Pages439-447
Number of pages9
EditionPART 2
DOIs
Publication statusPublished - 2010 Jul 14
Event7th International Symposium on Neural Networks, ISNN 2010 - Shanghai, China
Duration: 2010 Jun 62010 Jun 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6064 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Symposium on Neural Networks, ISNN 2010
CountryChina
CityShanghai
Period10/6/610/6/9

Keywords

  • E-learning
  • Emotion recognition
  • Language-learning anxiety
  • Physiological signals

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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