A method for automated detection of cultural difference based on image similarity

Mondheera Pituxcoosuvarn, Donghui Lin, Toru Ishida

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

Abstract

In intercultural collaboration, the lack of a common ground, typically evidenced by language differences, can result in misunderstandings. Many times, team members do not realize that a misunderstanding exists during the collaboration. One solution is to identifying the words that have a high probability of causing misunderstanding. However, it is difficult for people to identify those words, especially for monolingual and monocultural people, as they have never experienced the language and culture of the other party. Many researchers have been trying to identify cultural differences using survey studies but the resulting coverage is limited, requires excessive effort, and can yield bias. In this paper, we propose a novel method that applies an image comparison technique to an image database to automatically detect words that might cause misunderstanding. We test our method on 2,500 words in a Japanese-English concept dictionary called Japanese WordNet. This paper provides explains the results gained. We also discuss the use of the proposal and visualization as a support tool to enhance intercultural workshops.

Original languageEnglish
Title of host publicationCollaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings
EditorsHideyuki Nakanishi, Hironori Egi, Irene-Angelica Chounta, Hideyuki Takada, Satoshi Ichimura, Ulrich Hoppe
PublisherSpringer-Verlag
Pages129-143
Number of pages15
ISBN (Print)9783030280109
DOIs
Publication statusPublished - 2019 Jan 1
Event25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019 - Kyoto, Japan
Duration: 2019 Sep 42019 Sep 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11677 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019
CountryJapan
CityKyoto
Period19/9/419/9/6

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Keywords

  • Image similarity
  • Intercultural collaboration
  • Multilingual communication

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Pituxcoosuvarn, M., Lin, D., & Ishida, T. (2019). A method for automated detection of cultural difference based on image similarity. In H. Nakanishi, H. Egi, I-A. Chounta, H. Takada, S. Ichimura, & U. Hoppe (Eds.), Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings (pp. 129-143). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11677 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-28011-6_9