目的 针对智能头戴设备用户反馈管理中需求类型模糊、优先级判定主观性强的问题,提出一种基于KANO-AHP模型的融合模糊需求分析的反馈管理系统,以解决产品迭代过程中资源分配策略不足的问题。方法 通过用户调研和KANO模型划分需求属性（基本型、期望型、魅力型）,结合AHP层次分析法构建分析模型并邀请领域专家对需求进行评分与一致性检验,最终生成权重排序。结果 结合上述方法对智能头戴式产品设计痛点发掘定量化,能够清晰、系统地分析目标用户的反馈需求及重要程度,进而有效拆解产品反馈线,降低设计师的主观偏差,减轻需求反馈管理的负担。结论 通过智能硬件及需求管理两大交叉领域进行研究,构建了可迁移至新型可穿戴设备领域的客观需求管理框架,为中小企业提供具备理论严谨性与实施经济性的管理工具,推动用户反馈治理从经验驱动向数据驱动转型。
Abstract
The work aims to propose a feedback management system based on the KANO-AHP model, integrating fuzzy demand analysis to resolve the inadequacy of resource allocation strategies during product iteration, so as to address the issues of ambiguous need types and strong subjectivity in priority determination within user feedback management for smart head-mounted devices. User research and the fuzzy KANO model were employed to classify demand attributes (basic, performance, and excitement demands). Combined with the Analytic Hierarchy Process (AHP), an analytical model was constructed, and domain experts were invited to score demands and conduct consistency tests, ultimately generating a weighted ranking. By integrating these methods, the pain points in smart head-mounted product design were quantitatively identified, enabling a clear and systematic analysis of target users' feedback demands and their importance. This approach effectively decomposed product feedback loops, reduced designers' subjective bias, and alleviated the burden of demand feedback management. This research bridges the fields of smart hardware and demand management, constructing an objective demand management framework transferable to emerging wearable devices. It provides small and medium-sized enterprises (SMEs) with a management tool that balances theoretical rigor and implementation cost-effectiveness, promoting a shift in user feedback governance from experience-driven to data-driven approaches.
关键词
KANO模型 /
AHP /
用户反馈管理 /
智能头戴设备 /
系统设计
Key words
KANO model /
AHP /
user feedback management /
smart head-mounted devices /
system design
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基金
湖南省普通本科高校教育改革研究重点项目（202401000987）; 湖南省教育科学十四五规划2021课题（ND219075）
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