Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
A framework for explaining decision-theoretic advice
Artificial Intelligence
Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
The role of transparency in recommender systems
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Artificial Intelligence Review
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
Empirical research in on-line trust: a review and critical assessment
International Journal of Human-Computer Studies - Special issue: Trust and technology
Designing example-critiquing interaction
Proceedings of the 9th international conference on Intelligent user interfaces
Evaluating example-based search tools
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Effective Interaction Principles for Online Product Search Environments
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Experiments in dynamic critiquing
Proceedings of the 10th international conference on Intelligent user interfaces
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
Integrating tradeoff support in product search tools for e-commerce sites
Proceedings of the 6th ACM conference on Electronic commerce
Trust building with explanation interfaces
Proceedings of the 11th international conference on Intelligent user interfaces
What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology
International Journal of Electronic Commerce
Optimal recommendation sets: covering uncertainty over user preferences
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
On the role of diversity in conversational recommender systems
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Persuasion in Knowledge-Based Recommendation
PERSUASIVE '08 Proceedings of the 3rd international conference on Persuasive Technology
The effects of transparency on trust in and acceptance of a content-based art recommender
User Modeling and User-Adapted Interaction
Recommenders' influence on buyers' decision process
Proceedings of the third ACM conference on Recommender systems
Experiments on the preference-based organization interface in recommender systems
ACM Transactions on Computer-Human Interaction (TOCHI)
Factors influencing corporate online identity: a new paradigm
Journal of Theoretical and Applied Electronic Commerce Research
A new collaborative filtering metric that improves the behavior of recommender systems
Knowledge-Based Systems
Social summarization in collaborative web search
Information Processing and Management: an International Journal
User-centered design of preference elicitation interfaces for decision support
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
Trusting experience oriented design
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Towards compositional design and evaluation of preference elicitation interfaces
HCD'11 Proceedings of the 2nd international conference on Human centered design
Explaining negotiation: obtaining a shared mental model of preferences
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Expert Systems with Applications: An International Journal
A collaborative filtering approach to mitigate the new user cold start problem
Knowledge-Based Systems
A trust-based game theoretical model for Web services collaboration
Knowledge-Based Systems
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
Explaining the user experience of recommender systems
User Modeling and User-Adapted Interaction
Evaluating the effectiveness of explanations for recommender systems
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
Investigating explanations to justify choice
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
The influence of knowledgeable explanations on users' perception of a recommender system
Proceedings of the sixth ACM conference on Recommender systems
Incorporating reliability measurements into the predictions of a recommender system
Information Sciences: an International Journal
Being confident about the quality of the predictions in recommender systems
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
The effect of explanations on perceived control and behaviors in intelligent systems
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Knowledge-Based Systems
Exploring the impact of trust information visualization on mobile application usage
Personal and Ubiquitous Computing
How should I explain? A comparison of different explanation types for recommender systems
International Journal of Human-Computer Studies
Trust models and applications in communication and multi-agent systems
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers of KES2012-Part 2 of 2
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A recommender system's ability to establish trust with users and convince them of its recommendations, such as which camera or PC to purchase, is a crucial design factor especially for e-commerce environments. This observation led us to build a trust model for recommender agents with a focus on the agent's trustworthiness as derived from the user's perception of its competence and especially its ability to explain the recommended results. We present in this article new results of our work in developing design principles and algorithms for constructing explanation interfaces. We show the effectiveness of these principles via a significant-scale user study in which we compared an interface developed based on these principles with a traditional one. The new interface, called the organization interface where results are grouped according to their tradeoff properties, is shown to be significantly more effective in building user trust than the traditional approach. Users perceive it more capable and efficient in assisting them to make decisions, and they are more likely to return to the interface. We therefore recommend designers to build trust-inspiring interfaces due to their high likelihood to increase users' intention to save cognitive effort and the intention to return to the recommender system.