How Web Site Decision Technology Affects Consumers
IEEE Internet Computing
IEEE Transactions on Knowledge and Data Engineering
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
Evaluating product search and recommender systems for E-commerce environments
Electronic Commerce Research
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
UM '07 Proceedings of the 11th international conference on User Modeling
Users' eye gaze pattern in organization-based recommender interfaces
Proceedings of the 16th international conference on Intelligent user interfaces
Enhancing recommendation diversity with organization interfaces
Proceedings of the 16th international conference on Intelligent user interfaces
Content based recommender system by using eye gaze data
Proceedings of the Symposium on Eye Tracking Research and Applications
Modeling the structure of recommending interfaces with adjustable influence on users
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
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Recommender systems, as a type of Web personalized service to support users' online product searching, have been widely developed in recent years but with primary emphasis on algorithm accuracy In this paper, we particularly investigate the efficacy of recommender interface designs in affecting users' decision making strategies through the observation of their eye movements and product selection behavior One interface design is the standard list interface where all recommended items are listed one by one Another two are layout variations of organization-based interface where recommendations are grouped into categories The eye-tracking user evaluation shows that the organization interfaces, especially the one with a quadrant layout, can significantly attract users' attentions to more items, with the resulting benefit to enhance their objective decision quality.