Conference Agenda

AI assistants are increasingly used in Systems Engineering supporting activities such as requirements engineering, system modelling, and documentation. Existing research has predominantly focused on technical capabilities and instantiation of isolated use cases. Far less attention has been given to the design of human-AI interaction in engineering contexts leaving the design rationale of interactions between system engineers and assistants opaque. Yet effective interaction design is decisive for developing assistants that produce real impact. This paper analyses how systems engineers currently work with AI-based assistants. Through a systematic review of existing solutions and real-world applications, six main, recurring interaction patterns are identified, providing directions for the design of human-AI interactions in Systems Engineering.

Smart product–service systems (sPSS) combine physical products with digital services to deliver lifecycle value, increasingly leveraging data to improve offerings, optimize operations, and enable new business models. This paper examines a SysML-based, data-centric modeling approach for designing sPSS, implemented in a real development project. The study builds on a merged dataset from literature, standards, and five industry workshops, enabling the modeling of a multi-stakeholder network and several smart services. The approach is validated through 16 industry interviews.

Rural healthcare delivery often relies on Primary Healthcare Centres (PHCs) and Mobile Health Units (MHUs) that operate as parallel systems, resulting in fragmented infrastructure and inefficient resource use. This paper presents a design-oriented approach for integrating these systems through structure sharing. Using functional decomposition and overlap analysis, service redundancies and complementarities between PHCs and MHUs are identified. The study then examines how resources can be co-utilised to support multiple functions. The findings reveal reciprocal infrastructural complementarities: PHCs offer stable spatial infrastructure, staff, and essential amenities, while MHUs provide mobility and flexible service capabilities. Based on these insights, the paper synthesises an integrated healthcare architecture that links PHCs and MHUs into complementary assets rather than independent components of rural healthcare delivery system (RHDS).

The Live‑Lab LAT establishes a validated framework for investigating sociotechnical systems in agile product de-velopment. Integrating the dimensions of People, Organization, and Technology, it enables authentic yet controlled observation of agile teamwork and competence development. Evaluation results show measurable improvements in self‑organization, reflection, and the practical application of agile principles. The findings demonstrate that the Live‑Lab LAT provides a reproducible environment for systematically measuring and fostering agile action compe-tence under realistic conditions. Moreover, the Live‑Lab successfully reproduces the dynamic interplay between managerial objectives and operational conditions characteristic of industrial sociotechnical systems, confirming its ecological validity. Overall, the study highlights the Live‑Lab LAT’s dual function as a learning architecture and re-search infrastructure, advancing empirical research on agile product development within sociotechnical contexts.