Research on multi-channel interaction optimization design of household intelligent clothes hanger based on Kano-QFD

Third International Seminar on Artificial Intelligence, Networking, and Information Technology Pub Date : 2023-02-22 DOI:10.1117/12.2667199

Xiyu Gu, Huaming Peng

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Abstract

To optimize the multi-channel interactive experience of the household intelligent clothes hangers, the Kano model is used to qualitatively analyze 15 elements from the two demand levels of "practicality and ease of use", and the SII-DDI matrix analysis diagram is made. The importance ranking of 18 design requirements in two dimensions of "function and interaction" is constructed by the QFD method. The results show that: (1) "convenient storage" and "knowing process" are the requirements of household intelligent clothes hanger users "Remote control", "aseptic", "quick drying" and "ensuring night safety" are expected requirements. (2) The absolute importance of "client remote control", "human sense recognition" and "visual display operation" are 447, 428 and 428 respectively, which are three interaction modes with high user satisfaction. (3) The design points of "folding storage" and "intelligently matching the drying temperature to ensure the comfort of special fabrics" are the most important for the product function upgrading of the existing household intelligent clothes hanger Market.

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基于Kano-QFD的家用智能衣架多通道交互优化设计研究

为优化家用智能衣架的多渠道交互体验，采用Kano模型从“实用性和易用性”两个需求层面定性分析15个要素，并绘制SII-DDI矩阵分析图。通过QFD方法，构建了18个设计需求在“功能和交互”两个维度上的重要性排序。结果表明:(1)“方便存放”、“知道过程”是家用智能衣架用户的要求，“遥控”、“无菌”、“快干”、“保证夜间安全”是预期要求。(2)“客户端远程控制”、“人感识别”和“视觉显示操作”的绝对重要性分别为447、428和428，是用户满意度较高的三种交互模式。(3)“折叠收纳”和“智能匹配烘干温度，保证特殊面料的舒适度”的设计要点，是现有家用智能衣架市场产品功能升级的重中之重。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Third International Seminar on Artificial Intelligence, Networking, and Information Technology

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