Abstract
With the continuous development of intelligent technologies such as the Internet of Things, traditional supermarkets are also constantly exploring new ways of retailing. The smart shopping cart is a corresponding innovation. Through market and literature research, it is found that the existing design research of smart shopping cart focuses too much on the integration and implementation of technology, without fully considering the aesthetic and emotional needs of users for modeling. In this paper, the modeling design of the smart shopping cart is mainly based on the design method of Kansei Engineering. Firstly, the design positioning of the smart shopping cart is determined, that is, consumers aged 18–35 in large supermarkets are taken as the target users. Secondly, related product databases and perceptual vocabulary databases were established. After screening 40 groups of perceptual vocabulary by KJ method, 6 groups of vocabulary were obtained. Then the SD method is used to conduct a questionnaire survey on users. Finally, by drawing the intention scale map and analyzing the data, the three design elements of “simple and simple”, “light and large capacity” and “friendly streamline” were summarized. Combined with the functional requirements and ergonomics, the shape design was carried out. Finally, the design practice was recognized by design experts and the public through the survey of satisfaction. This study is an effective practice and exploration of Kansei Engineering design methods, providing new design ideas for the development of the smart shopping cart industry, and further improving the competitiveness and user experience of supermarkets.
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Ye, J., Wang, M., Zhu, S., Wang, J., Liu, X. (2021). Research on Smart Shopping Cart Modeling Design Based on Kansei Engineering. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Posters. HCII 2021. Communications in Computer and Information Science, vol 1421. Springer, Cham. https://doi.org/10.1007/978-3-030-78645-8_58
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DOI: https://doi.org/10.1007/978-3-030-78645-8_58
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