A machine learning-based iterative design approach to automate user satisfaction degree prediction in smart product-service system

• Main Authors: Cong, Jingchen, Zheng, Pai, Bian, Yuan, Chen, Chun-Hsien, Li, Jianmin, Li, Xinyu
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Mechanical engineering; Smart Product-Service System; User Satisfaction
• Online Access: https://hdl.handle.net/10356/161954
• Institution: Nanyang Technological University

As an emerging digital servitization paradigm, smart product-service system (Smart PSS) leverages smart, connected products and their generated services to work as a solution bundle to improve individual user satisfaction. As a complex solution bundle at both system and product level, its iterative...