TY - GEN
T1 - Eye-tracking study of user behavior in recommender interfaces
AU - Chen, Li
AU - Pu, Pearl
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - eye-tracking study
KW - list interface
KW - organization design
KW - recommender systems
KW - users' adaptive behavior
UR - http://www.scopus.com/inward/record.url?scp=77954567767&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-13470-8_35
DO - 10.1007/978-3-642-13470-8_35
M3 - Conference proceeding
AN - SCOPUS:77954567767
SN - 3642134696
SN - 9783642134692
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 375
EP - 380
BT - User Modeling, Adaptation, and Personalization - 18th International Conference, UMAP 2010, Proceedings
T2 - 18th International Conference on User Modeling, Adaptation and Personalization, UMAP 2010
Y2 - 20 June 2010 through 24 June 2010
ER -