TY - JOUR
T1 - A Proactive Interaction Design Method for Personalized User Context Prediction in Smart-Product Service System
AU - Ren, Mengyang
AU - Dong, Liang
AU - Xia, Ziqing
AU - Cong, Jingchen
AU - Zheng, Pai
N1 - Funding Information:
This research work was supported by the Laboratory for Artificial Intelligence in Design (Project Code: RP2-1) and the National Natural Science Foundation of China (No. 52005424)
Publisher Copyright:
© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
PY - 2023/5
Y1 - 2023/5
N2 - Smart product-service system (Smart PSS), as an emerging digital servitization paradigm, has attracted strong interest from both industry and academia worldwide. Compared with traditional PSS, Smart PSS has three unique characteristics, namely context awareness, closed-loop design, and IT-driven value co-creation, which put forward higher requirements for its solution design. Specifically, it aims for proactive interaction with users, which emphasizes context-aware prediction in the targeted service scenarios other than passive responses to the users. Meanwhile, smart connected products can be empowered to become agents to recommend personalized services accordingly. Nevertheless, few studies have considered a proactive interaction design approach in the Smart PSS context. Aiming to fill the gap, this study presents a systematic method that mainly includes three parts: context awareness, interaction decision-making graph, and interaction solution recommendation. By utilizing the proposed method, Smart PSS can actively interact with users and further provide optimal solutions according to personalized context data. At last, an illustrative case study of a smart reading solution is demonstrated to show its feasibility and effectiveness.
AB - Smart product-service system (Smart PSS), as an emerging digital servitization paradigm, has attracted strong interest from both industry and academia worldwide. Compared with traditional PSS, Smart PSS has three unique characteristics, namely context awareness, closed-loop design, and IT-driven value co-creation, which put forward higher requirements for its solution design. Specifically, it aims for proactive interaction with users, which emphasizes context-aware prediction in the targeted service scenarios other than passive responses to the users. Meanwhile, smart connected products can be empowered to become agents to recommend personalized services accordingly. Nevertheless, few studies have considered a proactive interaction design approach in the Smart PSS context. Aiming to fill the gap, this study presents a systematic method that mainly includes three parts: context awareness, interaction decision-making graph, and interaction solution recommendation. By utilizing the proposed method, Smart PSS can actively interact with users and further provide optimal solutions according to personalized context data. At last, an illustrative case study of a smart reading solution is demonstrated to show its feasibility and effectiveness.
KW - Context Awareness
KW - Proactive Interaction Design
KW - Smart Connected Products
KW - Smart Product-Service System
KW - User Experience
UR - http://www.scopus.com/inward/record.url?scp=85169904716&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2023.01.021
DO - 10.1016/j.procir.2023.01.021
M3 - Conference article
AN - SCOPUS:85169904716
SN - 2212-8271
VL - 119
SP - 963
EP - 968
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 33rd CIRP Design Conference
Y2 - 17 May 2023 through 19 May 2023
ER -