Effect of Cultural Misunderstanding Warning in MT-Mediated Communication
- 193 Downloads
Thanks to today’s technologies, the world’s borders have been fading away and intercultural collaboration has become easier and easier. Language and cultural differences are common problems in inter-cultural collaboration. Machine translation (MT) is now available to overcome the language barrier, so people can easily express and understand messages in different languages. However, misunderstandings often plague users from different cultures, especially in MT-mediated communication. To communicate productively, it is important to avoid such misunderstandings. One existing work proposed the idea of using automated cultural difference detection to warn the users of misunderstanding. However, no study has examined how such warnings affect the communication. To eliminate this gap, we conduct a controlled experiment on how users react to the warnings and what are the results in terms of communication. The results show that, with the data from cultural difference detection, warning the user of cultural misunderstanding can help reduce misunderstandings and increase awareness of cultural differences. The results of this experiment confirm the effectiveness of cultural misunderstanding alerts and suggest new directions in multilingual chat design.
KeywordsIntercultural collaboration Machine translation Cultural misunderstanding
This research was partially supported by a Grant-in-Aid for Scientific Research (A) (17H00759, 2017–2020), a Grant-in-Aid for Scientific Research (B) (18H03341, 2018–2020), and a Grant-in-Aid Young Scientists (A) (17H04706, 2017–2020) from the Japan Society for the Promotion of Science (JSPS).
- 1.Bailey, S.: Academic Writing: A Handbook for International Students. Taylor & Francis (2003). https://books.google.co.jp/books?id=SUeRAgAAQBAJ
- 3.Deutscher, G.: Through the Language Glass: Why the World Looks Different in Other Languages. Metropolitan Books, New York (2010)Google Scholar
- 4.Gookin, D.: Word 2013 For Dummies. For Dummies, Wiley (2013). https://books.google.co.jp/books?id=gxd6bMou76EC
- 7.Isahara, H., Bond, F., Uchimoto, K., Utiyama, M., Kanzaki, K.: Development of the Japanese wordnet. In: Sixth International Conference on Language Resources and Evaluation (2008)Google Scholar
- 10.Lafferty, J.C., Pond, A.W.: The Desert Survival Situation: Problem: a Group Decision Making Experience for Examining and Increasing Individual and Team Effectiveness. Human Synergistics (1974)Google Scholar
- 12.Nishimura, I., Murakami, Y., Pituxcoosuvarn, M.: Image-based detection criteria for cultural differences in translation. In: International Conference on Collaboration and Technology. Springer (2020)Google Scholar
- 14.Pituxcoosuvarn, M., Ishida, T., Yamashita, N., Takasaki, T., Mori, Y.: Machine translation usage in a children’s workshop. In: Egi, H., Yuizono, T., Baloian, N., Yoshino, T., Ichimura, S., Rodrigues, A. (eds.) CollabTech 2018. LNCS, vol. 11000, pp. 59–73. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98743-9_5CrossRefGoogle Scholar
- 15.Pituxcoosuvarn, M., Lin, D., Ishida, T.: A method for automated detection of cultural difference based on image similarity. In: Nakanishi, H., Egi, H., Chounta, I.-A., Takada, H., Ichimura, S., Hoppe, U. (eds.) CRIWG+CollabTech 2019. LNCS, vol. 11677, pp. 129–143. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-28011-6_9CrossRefGoogle Scholar
- 16.Yamashita, N., Inaba, R., Kuzuoka, H., Ishida, T.: Difficulties in establishing common ground in multiparty groups using machine translation. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 679–688. ACM (2009)Google Scholar
- 18.Yoshino, T., Miyabe, M., Suwa, T.: A proposed cultural difference detection method using data from Japanese and Chinese wikipedia. In: 2015 International Conference on Culture and Computing (Culture Computing), pp. 159–166. IEEE (2015)Google Scholar