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POP Cart: Product Recommendation System by an Agent on a Shopping Cart

Ryosuke TakadaKenya HoshimureTakuya IwamotoJun Baba
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Abstract

We developed POP Cart that uses a shopping cart and an agent to recommend products. To evaluate the effectiveness of the POP Cart agent, we conducted a field experiment in a real supermarket in Japan,where 49 participants shopped under three cart conditions. The results revealed that having an agent on a shopping cart is an effective way to recommend and sell products.

Information

Book Title

The 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN2021)

Volume

Number

Date

Pages

59-66

Citation 

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Ryosuke Takada, Kenya Hoshimure, Takuya Iwamoto, Jun Baba, "POP Cart: Product Recommendation System by an Agent on a Shopping Cart," The 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN2021), pp.59–66, Aug. 2021.