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

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.