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

Research Article

Upgrading Design of Medical Protective Clothing Based on User Experience

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2327996,
        author={Kunhe  Chen and Xiangyi  Li and Jingjing  Zheng and Yuexuan  Wang and Jiaqi  Chen and Yidan  Li and Lin  Zhang},
        title={Upgrading Design of Medical Protective Clothing Based on User Experience},
        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={kano; rostcm6; medical protective clothing; user experience},
        doi={10.4108/eai.2-12-2022.2327996}
    }
    
  • Kunhe Chen
    Xiangyi Li
    Jingjing Zheng
    Yuexuan Wang
    Jiaqi Chen
    Yidan Li
    Lin Zhang
    Year: 2023
    Upgrading Design of Medical Protective Clothing Based on User Experience
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2327996
Kunhe Chen1,*, Xiangyi Li1, Jingjing Zheng1, Yuexuan Wang1, Jiaqi Chen1, Yidan Li1, Lin Zhang1
  • 1: Dalian Polytechnic University
*Contact email: ckh1486923951@163.com

Abstract

To design a more comfortable protective clothing for health care workers and those with a need for protective clothing. The current shortcomings of medical protective clothing are summarised through a basic approach to design research. The ROSTCM6 text analysis and the KANO model were used to analyse the key design factors and identify further design options. The ROSTCM6 text analysis and the KANO model analysis were two very effective tools in this investigation into the design of protective clothing.