ABSTRACT
Online shopping in the home category enables quick and convenient access to large catalog of products. In particular, users can simultaneously browse for functional requirements, such as size and material, while evaluating aesthetic fit, such as color and style, across hundreds of product offerings. However, the typical user flow requires navigating to an e-commerce retailer’s website first, setting the search/filter parameters that may be generic, and then landing on product pages, one at a time, to make a decision. Upon purchase, ”does not fit” is among the top reasons for returning a product. Amalgamating the above information, we present Search with Space, a novel interactive approach that a) inputs the user’s space as a search parameter to b) filter for product matches that will physically fit, and c) visualize these matches in the user’s space at true scale and in a format that facilitates simultaneous comparison. Briefly, the user leverages augmented reality (AR) to set a proxy 3d product in the desired location, updates the proxy’s dimensions, and takes photos from preset angles. Using spatial information captured with AR, a web-based gallery page is curated with all the product matches that will physically fit and products are shown at true scale in their original photos. The user may now browse products visualized in the context of their space and evaluate based on their shopping criteria, share the gallery page with designers or partners for asynchronous feedback, re-use the photos for a different product class, or re-capture their space with different criteria altogether. Search with Space inverts the typical user journey by starting with the user’s space and maintaining that context across all touch points with the catalog.
- 2017. WhyEveryOrganizationNeedsanAugmentedRealitystrategy. https://hbr.org/2017/11/why-every-organization-needs-an-augmented-reality-strategyGoogle Scholar
- 2021. houzz. https://apps.apple.com/us/app/houzz-home-design-remodel/id399563465Google Scholar
- 2021. ikea. https://space10.com/project/ikea-placeGoogle Scholar
- 2021. wayfair. https://apps.apple.com/us/app/wayfair-shop-all-things-home/id836767708Google Scholar
- Carassa Antonella, Morganti Francesca, and Tirassa, Maurizio. 2005. A Situated Cognition Perspective on Presence. (2005). https://escholarship.org/uc/item/7sm3n3bjGoogle Scholar
- Daniel Baier, Alexandra Rese, and Stefanie Schreiber. 2015. Analyzing Online Reviews to Measure Technology Acceptance at the Point of Scale: The Case of IKEA.Google Scholar
- Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam. 2018. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. In ECCV.Google Scholar
- François Chollet. 2016. Xception: Deep Learning with Depthwise Separable Convolutions. https://doi.org/10.48550/ARXIV.1610.02357Google Scholar
- Thomas Porter and Tom Duff. 1984. Compositing digital images. In Proceedings of the 11th annual conference on Computer graphics and interactive techniques. 253–259.Google ScholarDigital Library
- Atieh Poushneh and Arturo Vasquez-Parraga. 2017. Discernible impact of augmented reality on retail customer’s experience, satisfaction, and willingness to buy. Journal of Retailing and Consumer Services 34 (01 2017). https://doi.org/10.1016/j.jretconser.2016.10.005Google Scholar
- Barry Schwartz. 2006. More Isn’t Always Better. (June 2006). [https://hbr.org/2006/06/more-isnt-always-betterGoogle Scholar
- Karen Simonyan and Andrew Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. https://doi.org/10.48550/ARXIV.1409.1556Google ScholarCross Ref
- Anurag Syal. 2020. Shot Angle Prediction. https://www.aboutwayfair.com/tech-innovation/shot-angle-prediction-estimating-pose-angle-with-deep-learning-for-furniture-items-using-images-generated-from-3d-modelsGoogle Scholar
Index Terms
- Search with Space: Find and Visualize Furniture in Your Space
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