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A proposal of interaction analysis framework for multilingual discussion

Published: 10 January 2019 Publication History

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.

References

[1]
Yamashita, N., and Ishida, T. 2006. Effects of machine translation on collaborative work. In Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work (pp. 515--524). ACM.
[2]
Mikolov, T., Le, Q. V., and Sutskever, I. 2013. Exploiting similarities among languages for machine translation. arXiv preprint arXiv: 1309.4168.
[3]
Tsunoda, K., and Hishiyama, R. 2010. Design of multilingual participatory gaming simulations with a communication support agent. In Proceedings of the 28th ACM International Conference on Design of Communication (pp. 17--25). ACM.
[4]
Wang, B., Suzuki, H., Liao, Y., Ieiri, Y., and Hishiyama, R. 2017. Promoting Environmental Education Using a Multilingual Environment: Manufacturing Soap from Waste Oil. In 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) (pp. 625--630). IEEE.
[5]
Yamaguchi, A., Tsunoda, K., and Hishiyama, R. 2011. Player agents for langrid gaming. In Proceedings of the 29th ACM international conference on Design of communication (pp. 51--58). ACM.
[6]
Yamashita, N. and Ishida, T. 2007. Analyzing referring behavior in machine translation-mediated communication. Information Processing Society of Japan 48, 2 (2007), 939--947.
[7]
Terui, K. and Hishiyama, R. 2013. Multilingual case method system for cross-cultural analysis. In Proceedings of the 2013 International Conference on Culture and Computing (Kyoto, Japan, September 16--18, 2013), 117--122
[8]
Language Grid portal site. Retrieved November 6, 2017 from http://langrid.org/
[9]
Ishida, T., Murakami, Y., Lin, D., Nakaguchi, T., and Otani, M. 2018. Language service infrastructure on the web: the language grid. In IEEE Computer. IEEE, 72--81.
[10]
Suehiro, M. and Hishiyama, R. 2015. Proposal of a new business model development service considering cross-cultures. The 14th Information Science and Technology Forum 14, 3 (2015), 415--422.
[11]
Gao, G., Yamashita, N., Hautasaari, A. M. J, and Fussell, S. R. 2015. Improving multilingual collaboration by displaying how non-native speakers use automated transcripts and bilingual dictionaries. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 3463--3472.
[12]
Han, Z. L, Yum, Y. O., Yates, R., Aguilera, L., Mao, Y., and Zheng, Y. 2005. Interruption and involvement in discourse: can intercultural interlocutors be trained. Journal of Intercultural Communication Research 34, 4 (2005), 233--254.
[13]
Slack. Retrieved December 10, 2017 from https://slack.com/
[14]
Mind mapping. Retrieved December 1, 2017 from www.tonybuzan.com/about/Mindmapping/.
[15]
Yamashita, N., Ishida, T., and Hirata, K. 2006. Analyzing misconceptions in machine-translator mediated communication. Information Processing Society of Japan 47 (Jan 2006), 112--120.

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    IC4E '19: Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning
    January 2019
    469 pages
    ISBN:9781450366021
    DOI:10.1145/3306500
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 10 January 2019

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    Author Tags

    1. intercultural collaboration
    2. machine translation
    3. mind map
    4. multilingual communication

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