TY - GEN
T1 - Effect of cultural misunderstanding warning in mt-mediated communication
AU - Pituxcoosuvarn, Mondheera
AU - Murakami, Yohei
AU - Lin, Donghui
AU - Ishida, Toru
N1 - Funding Information:
Acknowledgments. 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).
Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Cultural misunderstanding
KW - Intercultural collaboration
KW - Machine translation
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U2 - 10.1007/978-3-030-58157-2_8
DO - 10.1007/978-3-030-58157-2_8
M3 - Conference contribution
AN - SCOPUS:85091108549
SN - 9783030581565
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 112
EP - 127
BT - Collaboration Technologies and Social Computing - 26th International Conference, CollabTech 2020, Proceedings
A2 - Nolte, Alexander
A2 - Chounta, Irene-Angelica
A2 - Alvarez, Claudio
A2 - Hishiyama, Reiko
A2 - Rodríguez-Triana, María Jesús
A2 - Inoue, Tomoo
PB - Springer Science and Business Media Deutschland GmbH
T2 - 26th International Conference on Collaboration Technologies and Social Computing, CollabTech 2020
Y2 - 8 September 2020 through 11 September 2020
ER -