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User Perception of Situated Product Recommendations in Augmented Reality

机译:用户在增强现实中对位于产品建议的看法

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摘要

Augmented reality (AR) interfaces increasingly utilize artificial intelligence systems to tailor content and experiences to the user. We explore the effects of one such system — a recommender system for online shopping — which allows customers to view personalized product recommendations in the physical spaces where they might be used. We describe results of a 2×3 condition exploratory study in which recommendation quality was varied across three user interface types. Our results highlight potential differences in user perception of the recommended objects in an AR environment. Specifically, users rate product recommendations significantly higher in AR and in a 3D browser interface, and show a significant increase in trust in the recommender system, compared to a web interface with 2D product images. Through semi-structured interviews, we gather participant feedback which suggests AR interfaces perform better due to their ability to view products within the physical context where they will be used.
机译:增强现实(AR)界面越来越多地利用人工智能系统来定制对用户的内容和经验。我们探讨了一种这样的系统的影响 - 在线购物的推荐系统 - 这允许客户在可能使用的物理空间中查看个性化产品建议。我们描述了2×3条件探索性研究的结果,其中推荐质量在三种用户界面类型中变化。我们的结果突出了AR环境中推荐对象的用户感知的潜在差异。具体而言,与具有2D产品图像的Web界面相比,AR和3D浏览器界面中的用户建议在AR和3D浏览器界面中速率显着更高,并在推荐系统中显示出显着增加。通过半结构化访谈,我们收集参与者反馈,这表明AR接口的表现更好,因为它们能够在将使用的物理背景下查看产品。

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