摘要
为协助医护人员开展病区服务工作,提升患者临床康复体验,提出基于用户需求的产品服务系统设计方法。以病区场景下的物流机器人服务系统为研究对象,采用模糊Kano模型和熵权法确定用户需求类型及优先级;结合用户关键需求,进行产品外观与结构、人机交互模式及产品信息显示的设计改进,并采用逼近理想解排序法(Technique for Order Preference by Similarity to Ideal Solution,TOPSIS)评估设计方案的可行性。研究结果表明:采用定量和定性相结合的设计方法有利于提升服务系统设计的客观性和准确性,为同类产品的服务系统设计提供参考。
To assist medical staff to carry out ward service and enhance the clinical rehabilitation experience of patients,an design method of product service system was proposed based on user requirements.Taking the logistics robot service system under the scene of ward as the research object,the fuzzy Kano model and entropy weight method were performed to determine the user requirement type and priority.Combined with the key user requirements,the scheme improvement was carried out:product appearance and structure,human-computer interaction mode and product information display.Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)was used to evaluate the feasibility of the design scheme.The results showed that the combination of quantitative and qualitative design method was conducive to improve the objectivity and accuracy of the service system design,and could provide references for the service system design of similar products.
作者
李赛赛
孙博文
谭佳怡
LI Saisai;SUN Bowen;TAN Jiayi(School of Design,Anhui Polytechnic University,Wuhu 241000;School of Design and Arts,Beijing Institute of Technology,Beijing 100081)
出处
《机械设计》
CSCD
北大核心
2024年第4期164-169,共6页
Journal of Machine Design
基金
北京市高等教育学会2022年立项面上课题(MS2022224)
2023年河北省军民融合发展研究课题(HB23JMRH019)
北京理工大学首批新文科研究与改革实践项目(2021160005)。
