Paper Accepted at CBI 2025 – Research Track
Published:
Together with Thomas Jost, Paul Grünbacher and Christian Stary, our paper “A Model-Based Framework for Exploring Human-Machine Teaming Requirements in Cyber-Physical Systems”
has been accepted at the 27th International Conference on Business Informatics (CBI)
A Model-Based Framework for Exploring Human-Machine Teaming Requirements in Cyber-Physical Systems
As Cyber-Physical Systems (CPS) become more prevalent in a wide variety of domains, they are increasingly enriched with digital intelligence. Consequently, the role of humans, as well as their interplay with automation, have become important facets of CPS development, which has driven research in Human-Machine Interaction and Teaming. As technology and possible interaction patterns continuously evolve, requirements and system design become moving targets.
This makes it challenging to manage complexity, unless the right degree of abstraction is found. Stakeholders involved in development may also easily lose track of the different perspectives and needs, i.e., of the perception of future CPS-supported work realities. Therefore, in this paper, we present a structured design process, using adaptable models to capture role-specific behaviors, communication, and interaction details. Our approach aims to guide stakeholders and establish a traceable engineering process with transparent, informed decisions.
We propose a model-based framework for exploring Human-Machine Teaming requirements in the context of CPS. Our layered methodology encompasses defining the system scope, exploring automation scenario variants, detailing functional requirements, and finding an early candidate design. It enables continuous stakeholder control of a CPS development process based on Human-Machine Teaming requirements. A first demonstration and evaluation show its feasibility and applicability in a real-world context.