目的 基于KANO-AHP模型分析用户体验需求,提出面向需求属性与优先级的优化策略。构建更贴合农业用户需求的智能植保助手交互设计模型,提升其可用性与满意度。方法 通过市场调研、线上问卷与访谈收集农业用户在使用AI植保助手过程中的关键体验需求。基于KANO模型对需求进行属性划分,识别出基本型、期望型、兴奋型三类核心需求。再以KANO结果为基础构建AHP层次分析模型,邀请专家打分并完成一致性检验,计算各项需求的权重值与综合排序,进而提出需求层级优化方案。结果 归纳出15条AI植保助手的多维用户体验核心需求,构建了面向满意度导向的功能优化模型并结合模型进行了设计实践。结论 融合KANO-AHP方法可系统识别与量化用户需求,提出具有可操作性的设计优化路径,为农业数字化工具的交互优化提供理论支持与设计参考。
Abstract
Based on the KANO-AHP model, the work aims to analyze user experience needs and propose optimization strategies oriented to need attributes and priorities to construct an interactive design model for an intelligent plant protection assistant that better meets the needs of agricultural users, thus improving its usability and satisfaction. Through extensive market research, online questionnaires, and user interviews, key experience needs were collected during the use of AI plant protection applications. Based on the KANO model, user needs were classified into three core categories: basic, expected, and excited. On the basis of the KANO analysis results, an AHP hierarchical analysis model was constructed. Experts were invited to conduct scoring and complete the consistency test, so as to calculate the weight values and comprehensive ranking of each requirement, and further propose an optimization scheme for the need hierarchy. Fifteen core multi-dimensional user experience needs for the AI plant protection assistant were summarized, a satisfaction-oriented function optimization model was constructed, and design practice was carried out based on the model. The integration of the KANO-AHP methods enables systematic identification and quantification of user needs, and proposes operable design optimization paths, providing theoretical support and design references for the interaction optimization of agricultural digital tools.
关键词
KANO /
AHP /
APP交互设计 /
智慧农业
Key words
KANO /
AHP /
APP interaction design /
smart agriculture
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基金
国家重点研发计划项目（2021YFE0107700）; 贵州省“百层次”创新性人才支持计划（GCC[2023]070）; 贵州省科技创新人才团队建设项目（CXTD[2025]041）
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