How non-native speakers perceive listening comprehension problems: Implications for adaptive support technologies

Xun Cao, Naomi Yamashita, Toru Ishida

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Previous studies have suggested many technologies to support nonnative speaker comprehension in real-time communication. However, such technologies may impose an extra burden on non-native speakers (NNSs) if they do not match their current needs. To design a system that adapts to the changing needs of NNSs, we need to understand the types of problems NNSs face and how these problems are perceived by them. To explore such issues, we conducted a laboratory experiment with 40 NNSs (and 20 native speakers as a control group) who engaged in a listening task. During the task, the participants pressed a button whenever they encountered a comprehension problem. Next they explained each problem, the point at which they recognized the problem, and for how long it persisted. Our analysis identified twelve types of listening comprehension problems, which we further classified into three patterns based on their persistence and the time taken to perceive them. Our findings have implications for designing adaptive technologies to support listening comprehension of NNSs in real-time communication.

本文言語English
ホスト出版物のタイトルCollaboration Technologies and Social Computing - 8th International Conference, CollabTech 2016, Proceedings
編集者Takashi Yoshino, Gustavo Zurita, Takaya Yuizono, Nelson Baloian, Gwo-Dong Chen, Tomoo Inoue
出版社Springer-Verlag
ページ89-104
ページ数16
ISBN(印刷版)9789811026171
DOI
出版ステータスPublished - 2016 1 1
外部発表はい
イベント8th International Conference on Collaboration Technologies and Social Computing, CollabTech 2016 - Kanazawa, Japan
継続期間: 2016 9 142016 9 16

出版物シリーズ

名前Communications in Computer and Information Science
647
ISSN(印刷版)1865-0929

Conference

Conference8th International Conference on Collaboration Technologies and Social Computing, CollabTech 2016
CountryJapan
CityKanazawa
Period16/9/1416/9/16

ASJC Scopus subject areas

  • Computer Science(all)

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