目的 关注农户对无人机植保服务采纳率不高的问题,通过完善优化当前服务体系,提高植保无人机使用覆盖率。方法 综合实地调研法、深入访谈法和调查问卷法,梳理出农户与植保飞手两方用户的交互行为路径。基于SAPAD理论框架,完成用户的“行为-意义-对象”的多维度关联分析,通过聚类得到一般意义簇,结合AHP权重计算精准定位核心意义簇群。最后通过核心意义簇再次映射意义与对象,找出用户的关键行为,深入挖掘到用户的内在需求,从而系统地完善无人机植保服务流程,并以微信小程序原型设计与用户满意度测试评价对比来论证方案可行性。结论 通过用户满意度测试评价结果可得,SAPAD理论结合层次分析法的无人机植保服务系统优化设计能够显著提升用户体验,有利于促进每一户、每一村对无人机植保服务的认可,有力推动了农业现代化改革进程。
Abstract
Focusing on the issue of low adoption rates of unmanned aerial vehicle (UAV) plant protection services among farmers, the work aims to enhance the coverage of UAV usage in plant protection by improving and optimizing the current service system. Field research, in-depth interviews, and survey questionnaires were combined to map out the interaction pathways between farmers and UAV operators. Based on the SAPAD theoretical framework, a multi-dimensional correlation analysis of users' "behavior-meaning-object" was conducted. Clustering was used to identify general meaning clusters, and the Analytic Hierarchy Process (AHP) was applied to calculate weights and precisely locate the core meaning clusters. Finally, by remapping the meanings and objects from the core clusters, key user behaviors were identified, and the underlying needs of users were deeply explored. This process systematically refined the service workflow for UAV plant protection. The feasibility of the optimized service system was validated through a prototype design of a WeChat applet and user satisfaction tests. The results of the user satisfaction tests demonstrate that the optimization design of the UAV plant protection service system, based on the SAPAD theory and AHP, significantly enhances user experience. This approach is conducive to promoting the acceptance of UAV plant protection services at the household and village levels and effectively advances the process of agricultural modernization reform.
关键词
低空经济 /
三农 /
无人机植保服务设计 /
SAPAD /
AHP /
用户行为
Key words
low-altitude economy /
agricultural rural and farming issues /
unmanned aerial vehicle (UAV) plant protection service design /
SAPAD /
AHP /
user behavior
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