融合多主体用户的养老服务机器人迭代设计需求研究

Iterative Design Requirements of the Elderly Care Service Robots Integrating Multi-agent Users

中文关键词: 养老服务机器人  用户需求  迭代设计  多主体用户  熵权法  模糊kano模型

英文关键词: elderly care service robots  user needs  iterative design  multi-agent user  entropy method  fuzzy kano model

中文摘要:

      目的 用户需求和重要度的确定是设计师进行产品研发的关键环节，对企业产品开发成功与否也起着至关重要的指导作用，然而当前养老服务机器人在进行设计开发时仅考虑了用户老年人的需求，缺乏综合考虑老年人子女，即间接用户对服务机器人的需求。因此，提出融合多主体用户的养老服务机器人迭代设计需求识别方法，以期帮助设计师明确产品迭代的方向，从而满足多主体用户的切实需求，进而增强企业产品竞争力。方法 首先通过用户访谈获取直接用户老年人和间接用户子女的共同需求，即关键需求，其次利用熵权法确定关键需求的初始重要度，然后运用模糊kano模型确定关键需求类别，根据关键需求分类结果引入重要度调整函数，对关键需求初始重要度进行调整，综合考虑分析得出老年人及其子女的需求重要度，识别出未达到用户期待的需求，从而发现当前养老服务机器人的不足，指导设计师进行迭代设计，帮助企业研发出满足多主体用户切实需求的养老服务机器人。结论 通过综合分析养老服务机器人的多方需求，明确了其在用药指导、远程医生和影音娱乐3个方面的不足，帮助设计师找到了迭代设计的方向，验证了该方法的有效性和可操作性，同时该方法也为其他涉及多主体用户产品的改进设计提供了一定的参考价值。

英文摘要:

      The determination of user needs and their degree of importance is a critical link for designers to carry out product development, and it also plays a crucial role in guiding the success of enterprise product development. However, the current elderly care service robots only consider their directness when designing and developing. The needs of users of the elderly lack a comprehensive consideration of the needs of their children, that is, the needs of indirect users for service robots. Therefore, an alternative design demand identification method for the elderly care service robots that integrates multi-agent users is proposed to help designers clarify the direction of product replacement in order to meet the actual needs of multi-agent users, thereby enhancing the competitiveness of enterprise products. First, this paper aims to obtain the common needs of the direct users and the children of indirect users through user interviews, namely the key needs. Second, this papre uses the entropy method to determine the initial importance of the key needs, then uses the fuzzy kano model to determine the key needs category, and finally classifies the results according to the key needs, the importance adjustment function is introduced to adjust the initial importance of key needs, and the importance of the needs of the elderly and their children is comprehensively considered, and the needs that do not meet the expectations of the users are identified, so as to discover the deficiencies of the current the elderly care service robots, and guide designers to carry out iterative design to help companies develop the elderly care service robots that meet the actual needs of multi-agent users. In conclusion, through a comprehensive analysis of the multi-party needs of the elderly care service robot, it has clarified its shortcomings in medication guidance, remote doctors, and audio-visual entertainment, helping designers find the direction of iterative design, and verifying the effectiveness and operability of the method. Furthermore, this method also provides a certain reference value for other improved designs involving multi-agent user products.