ARShopping：通过增强现实和沉浸式可视化的店内购物决策支持
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization
摘要：
网上购物为客户提供了无限的选择，有广泛的产品细节和客户评论作为支持，所有这些都来自家庭的舒适;然而，没有多少详细的在线信息可以超过实体店提供的产品的即时满足感和动手理解。然而，在实体店中做出购买决定可能是具有挑战性的，这是由于大量类似的替代品和相关产品信息的有限可访问性（例如，特征、评级和评论）。在这项工作中，我们提出了ARShopping：一个基于网络的原型，可以在便携式智能设备（例如，电话、平板电脑、眼镜），在购买点的物理空间内。该原型使用增强现实（AR）来识别产品并显示详细信息，以帮助消费者做出满足其需求的购买决策，同时减少决策时间。特别是，我们使用数据融合算法来提高产品检测的精度;然后将AR可视化集成到场景中，以便于多个产品和功能的比较。我们根据对14名参与者的采访设计了原型，以更好地了解原型的实用性和易用性。
英文摘要：
Online shopping gives customers boundless options to choose from, backed by extensive product details and customer reviews, all from the comfort of home; yet, no amount of detailed, online information can outweigh the instant gratification and hands-on understanding of a product that is provided by physical stores. However, making purchasing decisions in physical stores can be challenging due to a large number of similar alternatives and limited accessibility of the relevant product information (e.g., features, ratings, and reviews). In this work, we present ARShopping: a web-based prototype to visually communicate detailed product information from an online setting on portable smart devices (e.g., phones, tablets, glasses), within the physical space at the point of purchase. This prototype uses augmented reality (AR) to identify products and display detailed information to help consumers make purchasing decisions that fulfill their needs while decreasing the decision-making time. In particular, we use a data fusion algorithm to improve the precision of the product detection; we then integrate AR visualizations into the scene to facilitate comparisons across multiple products and features. We designed our prototype based on interviews with 14 participants to better understand the utility and ease of use of the prototype.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
