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

  • Authors:
  • Chih-Ming Chen;Chin-Ming Hong

  • Affiliations:
  • Graduate Institute of Library, Information and Archival Studies, National Chengchi University, Taipei, Taiwan, R.O.C.;Department of Applied Electronics Technology, National Taiwan Normal University, Taipei, Taiwan, R.O.C.

  • Venue:
  • ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
  • Year:
  • 2010

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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.