The human-centric philosophy is considered a crucial development direction for smart Product-Service Systems (smart PSS). Smart PSS has effectively advanced the circular economy by enhancing user experience, incorporating servitization and digital servitization, and extending product lifecycle, among other key aspects of sustainable development. However, there is currently a lack of a reasonable, accurate, and actionable framework and methodology to express the human element, namely user profiling, within this philosophy. To address this gap, this paper utilizes statistical methods such as factor analysis, cluster analysis, and regression analysis, building upon the concept of traditional user profiling. The aim is to integrate the three prominent approaches of goal-oriented, scenario-based, and data-driven user profiling, with the goal of complementing each other and designing a top-level user profiling framework for smart PSS. Furthermore, Industry 4.0 technologies and text mining techniques are employed to collect data on users' product and service usage. As these data contain real-time information about user needs, behaviors and goals at different time periods, they can be used to construct dynamic features of user profiling, and ultimately achieve the construction of dynamic user profiling for smart PSS. To validate the proposed user profiling framework and dynamic user features of smart PSS, this paper presents a case study focusing on the user group of maternal women. This case study promotes the in-depth exploration of smart PSS research in expressing the human element.

中文翻译：

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动态用户画像构建及其在智能产品服务系统设计中的应用：以孕产妇为中心的案例研究

以人为本的理念被认为是智能产品服务系统（smart PSS）的重要发展方向。智能PSS通过提升用户体验、融合服务化和数字化服务化、延长产品生命周期等可持续发展的关键方面，有效推进了循环经济。然而，目前缺乏合理、准确、可操作的框架和方法来表达这一理念中的人为因素，即用户画像。为了解决这一差距，本文在传统用户分析概念的基础上，采用了因子分析、聚类分析和回归分析等统计方法。其目的是整合目标导向、场景化、数据驱动的用户画像三种主要方法，相互补充，设计出智能PSS的顶层用户画像框架。此外，还采用工业4.0技术和文本挖掘技术来收集用户产品和服务使用情况的数据。由于这些数据包含了不同时间段的用户需求、行为和目标的实时信息，因此可以用来构建用户画像的动态特征，最终实现智能PSS的动态用户画像构建。为了验证所提出的用户分析框架和智能 PSS 的动态用户特征，本文提出了一个针对产妇用户群体的案例研究。本案例研究推动了智能PSS研究在表达人的因素方面的深入探索。