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), 巻, 号, pp. 59 - 66