Secure Agents for Supporting Best-Balanced Multilingual Communication

Mondheera Pituxcoosuvarn, Takao Nakaguchi, Donghui Lin, Toru Ishida

研究成果: Conference contribution

抄録

There are technologies that support intercultural collaboration by allowing people to communicate more easily across the barriers of culture and language. However, sometimes user-sensitive information needs to be accessed. In best-balanced machine translation, a method that recommends the languages and machine translation services that should be used to assist multilingual group communication, user test scores must be disclosed to generate the language recommendations. There are various methods that can protect the data (test scores) and methods that allow simple statistic calculations, however, no existing method supports the complex calculations needed by the best-balanced machine translation method. This paper emphasizes the importance of user privacy in intercultural collaboration. We provide the initial idea and show how user test scores can be protected while supporting the recommendation system. We introduce a detailed example to discuss the design of a suitable user interface.

本文言語English
ホスト出版物のタイトルCross-Cultural Design. Applications in Health, Learning, Communication, and Creativity - 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
編集者Pei-Luen Patrick Rau
出版社Springer
ページ376-388
ページ数13
ISBN(印刷版)9783030499129
DOI
出版ステータスPublished - 2020
イベント12th International Conference on Cross-Cultural Design, CCD 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
継続期間: 2020 7 192020 7 24

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12193 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference12th International Conference on Cross-Cultural Design, CCD 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
CountryDenmark
CityCopenhagen
Period20/7/1920/7/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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