Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

Research on the Design of Children's Sports Toys Based on Kansei Engineering and SPSS Computer Data Analysis Technology

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2328029,
        author={Guangtao  Ma and Tianhui  Li},
        title={Research on the Design of Children's Sports Toys Based on Kansei Engineering and SPSS Computer Data Analysis Technology},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={kansei engineering; children's toys; kansei analysis; spss data analysis techniques},
        doi={10.4108/eai.2-12-2022.2328029}
    }
    
  • Guangtao Ma
    Tianhui Li
    Year: 2023
    Research on the Design of Children's Sports Toys Based on Kansei Engineering and SPSS Computer Data Analysis Technology
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2328029
Guangtao Ma1, Tianhui Li1,*
  • 1: Shenyang Jianzhu university
*Contact email: 799751015@qq.com

Abstract

Toys are an important and indispensable part of children's life during their growth stage. The toy design in China has great defects and does not really understand the needs of users, and only realizes the function-oriented toy design. This paper introduces Kansei Engineering design approach and SPSS data processing technology into the design of children's sports toys, and Kansei Engineering analysis and the main hierarchical analysis method in SPSS data analysis technology are conducted for the buyers of toys, and after selecting the design samples, a semantic differential scale is established to analyze the data to derive specific design semantics. The data analysis has led to the conclusion that the main perceptual terms that influence the design of sports toys are creative, fun, interactive, safe, and other functional characteristics. The combination of this theory and computer data processing technology can better analyze user needs and provide new ideas for the design of children's sports toys.