Trust building with explanation interfaces
Proceedings of the 11th international conference on Intelligent user interfaces
An eye tracking study of the effect of target rank on web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A minimal model for predicting visual search in human-computer interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
UM '07 Proceedings of the 11th international conference on User Modeling
Scrolling behaviour with single- and multi-column layout
Proceedings of the 18th international conference on World wide web
Critiquing recommenders for public taste products
Proceedings of the third ACM conference on Recommender systems
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Recommender Systems Handbook
Eye-Tracking study of user behavior in recommender interfaces
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
GBPR: group preference based Bayesian personalized ranking for one-class collaborative filtering
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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In this paper, we report the hotspot and gaze path of users' eye-movements on three different layouts for recommender interfaces. One is the standard list layout, as appearing in most of current recommender systems. The other two are variations of organization interfaces where recommended items are organized into categories and each category is annotated by a title. Gaze plots infer that the organization interfaces, especially the quadrant layout, are likely to arouse users' attentions to more recommendations. In addition, more users chose products from the organization layouts. Combining the results with our prior works, we suggest a set of design guidelines and practical implications to our future work.