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Eye-Tracking Study of User Behavior in Recommender Interfaces

机译：推荐界面中用户行为的眼动研究

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摘要

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.
机译：推荐系统作为一种支持用户在线产品搜索的Web个性化服务，近年来得到了广泛的发展，但主要侧重于算法的准确性。在本文中，我们特别研究了推荐器界面设计通过观察用户的眼动和产品选择行为而影响其决策策略的功效。一种界面设计是标准列表界面，其中所有推荐项都被逐一列出。另外两个是基于组织的界面的布局变体，其中建议分为几类。令人眼动的用户评估表明，组织界面，尤其是具有象限布局的界面，可以极大地吸引用户对更多项目的关注，从而提高他们的客观决策质量。

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