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Online shopping gives customers boundless options to choose from, backed byextensive product details and customer reviews, all from the comfort of home;yet, no amount of detailed, online information can outweigh the instantgratification and hands-on understanding of a product that is provided byphysical stores. However, making purchasing decisions in physical stores can bechallenging due to a large number of similar alternatives and limitedaccessibility of the relevant product information (e.g., features, ratings, andreviews). In this work, we present ARShopping: a web-based prototype tovisually communicate detailed product information from an online setting onportable smart devices (e.g., phones, tablets, glasses), within the physicalspace at the point of purchase. This prototype uses augmented reality (AR) toidentify products and display detailed information to help consumers makepurchasing decisions that fulfill their needs while decreasing thedecision-making time. In particular, we use a data fusion algorithm to improvethe precision of the product detection; we then integrate AR visualizationsinto the scene to facilitate comparisons across multiple products and features.We designed our prototype based on interviews with 14 participants to betterunderstand the utility and ease of use of the prototype.

ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization