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Trust building with explanation interfaces

Published: 29 January 2006 Publication History

Abstract

Based on our recent work on the development of a trust model for recommender agents and a qualitative survey, we explore the potential of building users' trust with explanation interfaces. We present the major results from the survey, which provided a roadmap identifying the most promising areas for investigating design issues for trust-inducing interfaces. We then describe a set of general principles derived from an in-depth examination of various design dimensions for constructing explanation interfaces, which most contribute to trust formation. We present results of a significant-scale user study, which indicate that the organization-based explanation is highly effective in building users' trust in the recommendation interface, with the benefit of increasing users' intention to return to the agent and save cognitive effort.

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Cited By

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  • (2024)User-centric Explanation Strategies for Interactive RecommendersProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3663098(2174-2176)Online publication date: 6-May-2024
  • (2024)Slide to Explore 'What If': An Analysis of Explainable InterfacesAdjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction10.1145/3677045.3685416(1-6)Online publication date: 13-Oct-2024
  • (2024)A Survey on Trustworthy Recommender SystemsACM Transactions on Recommender Systems10.1145/36528913:2(1-68)Online publication date: 13-Apr-2024
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cover image ACM Conferences
IUI '06: Proceedings of the 11th international conference on Intelligent user interfaces
January 2006
392 pages
ISBN:1595932879
DOI:10.1145/1111449
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 January 2006

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Author Tags

  1. explanation interfaces
  2. recommender agents
  3. tradeoff assistance
  4. trust building

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  • Article

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IUI06
IUI06: 11th International Conference on Intelligent User Interfaces
January 29 - February 1, 2006
Sydney, Australia

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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Cited By

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  • (2024)User-centric Explanation Strategies for Interactive RecommendersProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3663098(2174-2176)Online publication date: 6-May-2024
  • (2024)Slide to Explore 'What If': An Analysis of Explainable InterfacesAdjunct Proceedings of the 2024 Nordic Conference on Human-Computer Interaction10.1145/3677045.3685416(1-6)Online publication date: 13-Oct-2024
  • (2024)A Survey on Trustworthy Recommender SystemsACM Transactions on Recommender Systems10.1145/36528913:2(1-68)Online publication date: 13-Apr-2024
  • (2024)exHARProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435008:1(1-30)Online publication date: 6-Mar-2024
  • (2024)Dissecting users' needs for search result explanationsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642059(1-17)Online publication date: 11-May-2024
  • (2024)User-Centric Evaluation of Novelty and Explanation Aspects of Recommender Systems in an Indonesia E-commerce Platform Based on Perceived Usefulness2024 2nd International Conference on Software Engineering and Information Technology (ICoSEIT)10.1109/ICoSEIT60086.2024.10497523(70-75)Online publication date: 28-Feb-2024
  • (2024)Twenty-four years of empirical research on trust in AI: a bibliometric review of trends, overlooked issues, and future directionsAI & SOCIETY10.1007/s00146-024-02059-yOnline publication date: 2-Oct-2024
  • (2024)Interactive Recommendation SystemsHandbook of Human Computer Interaction10.1007/978-3-319-27648-9_54-1(1-29)Online publication date: 11-Feb-2024
  • (2024)Evaluation of the User-Centric Explanation Strategies for Interactive RecommendersExplainable and Transparent AI and Multi-Agent Systems10.1007/978-3-031-70074-3_2(21-38)Online publication date: 6-May-2024
  • (2023)Parental Trust in Automated Detection of Cyberpredators2023 46th MIPRO ICT and Electronics Convention (MIPRO)10.23919/MIPRO57284.2023.10159713(30-35)Online publication date: 22-May-2023
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