基于知识图谱的智能产品服务系统交互设计研究

doi:10.3901/JME.2023.11.094

机械工程学报 ›› 2023, Vol. 59 ›› Issue (11): 94-105.doi: 10.3901/JME.2023.11.094

• 特邀专栏:智能产品交互设计 • 上一篇下一篇

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基于知识图谱的智能产品服务系统交互设计研究

从靖晨¹, 项忠霞¹, 李心雨², 董良¹, 李巨韬¹, 陈俊贤³

1. 天津大学机械工程学院天津 300350;
2. 东华大学机械工程学院上海 201620;
3. 新加坡南洋理工大学机械与宇航工程学院新加坡 639798

收稿日期:2021-11-18 修回日期:2022-09-15 出版日期:2023-06-05 发布日期:2023-07-19
通讯作者: 项忠霞(通信作者),女,1964年出生,博士,教授。主要研究方向为机械设计与理论、人体生物力学、康复机器人设计理论等。E-mail:xiangzhx@tju.edu.cn
作者简介:从靖晨,女,1990年出生,博士研究生。主要研究方向为智能产品服务系统方案设计。E-mail:congjingchen@tju.edu.cn
基金资助:
太阳石药业工业设计创新开发资助项目(2019GKF-0005)

A Knowledge Graph-based Interaction Design Method for Smart Product-service System Development

CONG Jingchen¹, XIANG Zhongxia¹, LI Xinyu², DONG Liang¹, LI Jutao¹, CHEN Chun-Hsien³

1. School of Mechanical Engineering, Tianjin University, Tianjin 300350;
2. College of Mechanical Engineering, Donghua University, Shanghai 201620;
3. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798

Received:2021-11-18 Revised:2022-09-15 Online:2023-06-05 Published:2023-07-19

摘要/Abstract

摘要： 为满足用户对智能产品服务系统的个性化需求，提出了一种基于知识图谱的智能产品服务系统交互设计方法，使产品开发团队能够通过对交互设计本领域、外领域知识的结合与调用，输出智能产品服务系统的设计解决方案。首先，基于用户体验五要素理论构建本领域知识图谱，并利用其他学科的开源知识构建外领域知识图谱。其次，利用概念-知识(C-K)算子获取针对用户个性化需求的解决方案，以及方案对应的感官通道的数量和表现层元素的知识。最后，构建针对需通过人-Smart PSS交互予以实现个性化需求、基于实时数据的人机交互决策树。利用所开发的智能产品服务系统实时收集情景数据，结合已建立的人机交互决策树可不断获取并执行相应的解决方案。以智能用药服务系统为例，验证了基于知识图谱的智能产品服务系统交互设计方法的良好可行性。

关键词: 智能产品服务系统, 交互设计, 知识图谱, C-K理论

Abstract: To meet the dynamic and personalized requirements of Smart product-service system, a knowledge graph-based interaction design method is proposed to combine and utilize the internal and external knowledge for outputting Smart product-service system design solutions. Firstly, an internal knowledge graph is established based on the five elements of user experience, and an external knowledge graph is established with open-source knowledge of other fields. Secondly, the Concept-Knowledge (C-K) operator is utilized to obtain the solutions to the personalized requirements, the number of sensory channels, and the knowledge of elements in the surface layer. Finally, the human-computer interaction decision tree is constructed to meet the dynamic and personalized requirements. After the system is developed and used, Smart product-service system can collect the context data in real-time and obtain the solutions by utilizing the results of the human-computer interaction decision trees. To validate the performance of the proposed approach, a case study of a smart medication service system is conducted.

Key words: smart product-service system, interaction design, knowledge graph, C-K theory

中图分类号:

TH166

从靖晨, 项忠霞, 李心雨, 董良, 李巨韬, 陈俊贤. 基于知识图谱的智能产品服务系统交互设计研究[J]. 机械工程学报, 2023, 59(11): 94-105.

CONG Jingchen, XIANG Zhongxia, LI Xinyu, DONG Liang, LI Jutao, CHEN Chun-Hsien. A Knowledge Graph-based Interaction Design Method for Smart Product-service System Development[J]. Journal of Mechanical Engineering, 2023, 59(11): 94-105.

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基于知识图谱的智能产品服务系统交互设计研究

A Knowledge Graph-based Interaction Design Method for Smart Product-service System Development

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