Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Eye-tracking study of user behavior in recommender interfaces

Language

English

Abstract

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. © 2010 Springer-Verlag.

Keywords

eye-tracking study, list interface, organization design, recommender systems, users' adaptive behavior

Publication Date

2010

Source Publication Title

User Modeling, Adaptation, and Personalization: 18th International Conference, UMAP 2010, Big Island, HI, USA, June 20-24, 2010. Proceedings

Start Page

375

End Page

380

Conference Location

Big Island, United States

Publisher

Springer

DOI

10.1007/978-3-642-13470-8_35

ISBN (print)

9783642134692

ISBN (electronic)

9783642134708

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