A cross-cultural analysis of trust in recommender systems

Shlomo Berkovsky, Ronnie Taib, Yoshinori Hijikata, Pavel Braslavsku, Bart Knijnenburg

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

2 Citations (Scopus)

Abstract

User system trust is critical to the uptake of recommendations, and several factors of trust have been identified and compared. In this paper we present a cross-cultural, crowdsourced study examining user perceptions of nine factors of trust and link the observed differences to trust development processes and cultural dimensions. While some factors consistently instil trust, others are preferred only in certain countries. Our findings and the discovered links are important for design of trusted recommender systems.
Original languageEnglish
Title of host publicationUMAP'18, Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery (ACM)
Pages285-289
Number of pages5
ISBN (Electronic)9781450355896
DOIs
Publication statusPublished - 3 Jul 2018
Externally publishedYes
Event26th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2018 - Singapore, Singapore
Duration: 8 Jul 201811 Jul 2018

Conference

Conference26th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2018
CountrySingapore
CitySingapore
Period8/07/1811/07/18

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Keywords

  • Recommender systems
  • user-system trust
  • presentation of recommendations
  • cross-cultural comparison
  • user study

Cite this

Berkovsky, S., Taib, R., Hijikata, Y., Braslavsku, P., & Knijnenburg, B. (2018). A cross-cultural analysis of trust in recommender systems. In UMAP'18, Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization (pp. 285-289). Association for Computing Machinery (ACM). https://doi.org/10.1145/3209219.3209251