Effect of cultural misunderstanding warning in mt-mediated communication

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

*Corresponding author for this work

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

Abstract

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.

Original languageEnglish
Title of host publicationCollaboration Technologies and Social Computing - 26th International Conference, CollabTech 2020, Proceedings
EditorsAlexander Nolte, Irene-Angelica Chounta, Claudio Alvarez, Reiko Hishiyama, María Jesús Rodríguez-Triana, Tomoo Inoue
PublisherSpringer Science and Business Media Deutschland GmbH
Pages112-127
Number of pages16
ISBN (Print)9783030581565
DOIs
Publication statusPublished - 2020
Event26th International Conference on Collaboration Technologies and Social Computing, CollabTech 2020 - Tartu, Estonia
Duration: 2020 Sep 82020 Sep 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12324 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th International Conference on Collaboration Technologies and Social Computing, CollabTech 2020
Country/TerritoryEstonia
CityTartu
Period20/9/820/9/11

Keywords

  • Cultural misunderstanding
  • Intercultural collaboration
  • Machine translation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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