A proposal of interaction analysis framework for multilingual discussion

Yuqi Liao, Yuya Ieiri, Reiko Hishiyama

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

Abstract

Global problems, such as environmental issues, refugee crises, and food shortages, transcend borders and must be addressed at the international level. The goal of our research is to examine ways in which we can clarify common features, similarities, and differences in people's thinking to confront problems among people who speak different languages. In our study, we first designed an interactive analysis framework for analyzing the similarities and differences in thinking among different people. To evaluate the effectiveness of our proposed framework, we conducted experimental discussions combined with making a mind map about environmental issues among Chinese and Japanese-speaking participants. After the discussion activity, we analyzed the logs and mind maps by focusing on keywords and the flow of information. Our results showed that the participants had various ways of thinking about environmental problems and their solutions. We succeeded in summarizing the similarities and differences as discussion points and share them using our framework in a visible form.

Original languageEnglish
Title of host publicationIC4E 2019 - 2019 10th International Conference on E-Education, E-Business, E-Management and E-Learning
PublisherAssociation for Computing Machinery
Pages421-426
Number of pages6
ISBN (Electronic)9781450366021
DOIs
Publication statusPublished - 2019 Jan 10
Event10th International Conference on E-Education, E-Business, E-Management and E-Learning, IC4E 2019 - Tokyo, Japan
Duration: 2019 Jan 102019 Jan 13

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Conference on E-Education, E-Business, E-Management and E-Learning, IC4E 2019
CountryJapan
CityTokyo
Period19/1/1019/1/13

Keywords

  • Intercultural collaboration
  • Machine translation
  • Mind map
  • Multilingual communication

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Liao, Y., Ieiri, Y., & Hishiyama, R. (2019). A proposal of interaction analysis framework for multilingual discussion. In IC4E 2019 - 2019 10th International Conference on E-Education, E-Business, E-Management and E-Learning (pp. 421-426). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3306500.3306561

A proposal of interaction analysis framework for multilingual discussion. / Liao, Yuqi; Ieiri, Yuya; Hishiyama, Reiko.

IC4E 2019 - 2019 10th International Conference on E-Education, E-Business, E-Management and E-Learning. Association for Computing Machinery, 2019. p. 421-426 (ACM International Conference Proceeding Series).

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

Liao, Y, Ieiri, Y & Hishiyama, R 2019, A proposal of interaction analysis framework for multilingual discussion. in IC4E 2019 - 2019 10th International Conference on E-Education, E-Business, E-Management and E-Learning. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 421-426, 10th International Conference on E-Education, E-Business, E-Management and E-Learning, IC4E 2019, Tokyo, Japan, 19/1/10. https://doi.org/10.1145/3306500.3306561
Liao Y, Ieiri Y, Hishiyama R. A proposal of interaction analysis framework for multilingual discussion. In IC4E 2019 - 2019 10th International Conference on E-Education, E-Business, E-Management and E-Learning. Association for Computing Machinery. 2019. p. 421-426. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3306500.3306561
Liao, Yuqi ; Ieiri, Yuya ; Hishiyama, Reiko. / A proposal of interaction analysis framework for multilingual discussion. IC4E 2019 - 2019 10th International Conference on E-Education, E-Business, E-Management and E-Learning. Association for Computing Machinery, 2019. pp. 421-426 (ACM International Conference Proceeding Series).
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