Effect of cultural misunderstanding warning in mt-mediated communication

Mondheera Pituxcoosuvarn*, Yohei Murakami, Donghui Lin, Toru Ishida


研究成果: Conference contribution


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.

ホスト出版物のタイトルCollaboration Technologies and Social Computing - 26th International Conference, CollabTech 2020, Proceedings
編集者Alexander Nolte, Irene-Angelica Chounta, Claudio Alvarez, Reiko Hishiyama, María Jesús Rodríguez-Triana, Tomoo Inoue
出版社Springer Science and Business Media Deutschland GmbH
出版ステータスPublished - 2020
イベント26th International Conference on Collaboration Technologies and Social Computing, CollabTech 2020 - Tartu, Estonia
継続期間: 2020 9月 82020 9月 11


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12324 LNCS


Conference26th International Conference on Collaboration Technologies and Social Computing, CollabTech 2020

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)


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