基于SAPAD-AHP的智能割草机器人设计研究

目的 挖掘用户在使用智能割草机器人的过程中每个行为背后的意义,重建操作流程、产品功能、产品部件系统,以改善产品可用性,提升用户操作体验。方法 通过非参与式观察法及深度访谈法,解析用户使用割草机器人的行为;引入SAPAD框架挖掘“行为-对象-意义”的映射关系,聚类得出一般意义簇;通过AHP方法计算一般意义簇的权重,通过筛选和聚类得到多层级核心意义簇,获取用户核心需求。由“多层级核心意义簇-产品”的映射分析,重构部件系统。结果 在SAPAD-AHP的方法指导下,开展智能割草机器人设计,与市售两款同类产品进行对比评价,结果显示该方案在核心功能及交互体验方面有显著改善。结论 基于SAPAD-AHP方法进行智能割草机器人设计,可更精准地获取用户核心需求,使功能设计更合理,这有助于设计师创作出更具竞争力的方案,为智能机器人类产品的设计开发提供了一定的参考和思路。

Design and Research of Intelligent Mowing Robot Based on SAPAD-AHP

The work aims to explore the underlying meaning behind each behavior during the use of intelligent mowing robots, reconstruct the operational process, product functions, and component systems, and improve product usability and user experience. Non-participatory observation and in-depth interviews were conducted to analyze users'' behaviors when using mowing robots. The SAPAD framework was introduced to uncover the mapping relationship between "behavior-object-meaning", and the general meanings were obtained by clustering. The AHP method was used to calculate the weights of general meaning clusters, and core meaning clusters at multiple levels were obtained through screening and clustering to identify users'' core needs. By analyzing the mapping between "multi-level core meaning cluster-product", the component system was reconstructed. The design of an intelligent mowing robot based on the SAPAD-AHP method can more accurately capture the core needs of users, make the functional design more reasonable, and help designers to create more competitive solutions. It provides a reference and guidance for the design and development of similar intelligent robot products.