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Search with Space: Find and Visualize Furniture in Your Space

Published: 28 October 2022 Publication History

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.

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2021. houzz. https://apps.apple.com/us/app/houzz-home-design-remodel/id399563465
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2021. wayfair. https://apps.apple.com/us/app/wayfair-shop-all-things-home/id836767708
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Daniel Baier, Alexandra Rese, and Stefanie Schreiber. 2015. Analyzing Online Reviews to Measure Technology Acceptance at the Point of Scale: The Case of IKEA.
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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.2016.10.005
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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-models

Cited By

View all
  • (2024)Enhancing the Interior Design Process with Crowdsourced Furnishing Pairing RecommendationsArchives of Design Research10.15187/adr.2024.05.37.2.7937:2(79-101)Online publication date: 31-May-2024
  • (2024)CMLsearch: Semantic visual search and simulation through segmented colour, material, and lighting in interior imageJournal of Computational Design and Engineering10.1093/jcde/qwae11412:1(179-299)Online publication date: 30-Dec-2024

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cover image ACM Conferences
UIST '22 Adjunct: Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology
October 2022
413 pages
ISBN:9781450393218
DOI:10.1145/3526114
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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New York, NY, United States

Publication History

Published: 28 October 2022

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Author Tags

  1. Online shopping
  2. asynchronous design
  3. augmented reality
  4. spatial search
  5. visualization

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Overall Acceptance Rate 355 of 1,733 submissions, 20%

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Cited By

View all
  • (2024)Enhancing the Interior Design Process with Crowdsourced Furnishing Pairing RecommendationsArchives of Design Research10.15187/adr.2024.05.37.2.7937:2(79-101)Online publication date: 31-May-2024
  • (2024)CMLsearch: Semantic visual search and simulation through segmented colour, material, and lighting in interior imageJournal of Computational Design and Engineering10.1093/jcde/qwae11412:1(179-299)Online publication date: 30-Dec-2024

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