The Future of Smart Dressing Mirror: An Open Innovation Concept Video

Gao, Guangyu; Bai, Chenchen; Zheng, Wei; Liu, Chi Harold

doi:10.1109/uic-atc-scalcom-cbdcom-iop.2015.82

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Cited by 4 publications

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“…Another technology that has been integrated with recommender systems is computer vision which can be used to track customers in-store using surveillance cameras [22]. Other options include smart mirrors which detect RFID tags and recommend similar products [11].…”

Section: Previous Work and Backgroundmentioning

confidence: 99%

An In-store Recommender System Leveraging the Microsoft HoloLens

Mora

Jain

Nalbach

et al. 2020

Communications in Computer and Information Science

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As the retail sector transitions into an omnichannel model, most brick and mortar stores are struggling to keep up with the competition by digital retail formats. Offline retail is still lacking the means to enrich the shopping experience in-store to make it more convenient, personalized and engaging. To this end, we introduce a novel in-store recommender system leveraging head-mounted mixed reality displays. The system enhances the shopping experience by introducing immersion and addressing the customer's desire to be treated on a personal level.

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Section: Previous Work and Backgroundmentioning

confidence: 99%