Exploring the potential of the Industrial Metaverse for Systems Engineering
Compared to traditional Document-Based Systems Engineering, Model-Based Systems Engineering (MBSE) offers significant theoretical advantages for managing complex engineering projects. Practitioners perceive that the paradigm shift to a model-centric approach improves the complete capture of systems engineering and architectural knowledge. Furthermore, MBSE facilitates better communication, information sharing, improved consistency, traceability, systems understanding, complexity management, and the capacity for data reuse. Despite these reported benefits, the widespread adoption of MBSE is hindered by several critical barriers
MIMESIS'Lab addresses these fundamental barriers by shifting toward a human-centered approach in the Industrial Metaverse. To overcome the limitations of traditional diagrammatic representations, our research focuses on the intersection of Model-Based Systems Engineering (MBSE) and Human-Computer Interaction (HCI), emphasizing the importance of visually rich and interactive 3D user interfaces. To overcome the limitations of traditional diagrammatic representations, our research focuses on the intersection of Model-Based Systems Engineering (MBSE) and Human-Computer Interaction (HCI), emphasizing the importance of visually rich and interactive 3D user interfaces. By replacing fragmented, heavily codified 2D diagrams with interactive 3D virtual environments, we transform abstract system data into intuitive, concrete representations. This significantly reduces the cognitive effort required to navigate complex digital threads, enabling multidisciplinary teams to understand and co-architect systems without needing to master esoteric modeling languages.
To extend engineers' capabilities. We equip systems architects and core team members with interactive - immersive or not - visualisation to review and co-design complex industrial systems from top program objectives to system architecture and detailed designs trade-off studies.
To delegate tasks to artificial agents. We integrate Generative AI to enable users to naturally interact with data through textual or speech interaction to explore digital threads, retrive data, maintain connsistency of MBSE artefacts across multiple modelling layer, simulate change impacts.
To communicate with teammates. We design (a)symmetric collaboration environments that connect multidisciplinary teams to review or co-design architectures with the output devices that best suit their tasks and habits and study how interactive visual representations impact the collaboration and team mental model.
Swipe or use arrows to see more
Focusing on 3D User Interfaces for managing complex systems Digital Threads. We are exploring multimodal human-computer interaction techniques that enable engineers to trace and maintain MBSE data across multiple views and levels of abstraction.
Swipe or use arrows to see more
Co-architecting complex industrial product-process systems by transitioning from esoteric 2D diagrammatic representations to multi-user interactive 3D modelling interfaces in a virtual world using desktop PC, wall-sized display or VR HMD on demand.
Swipe or use arrows to see more
Enabling multidisciplinary systems engineering team members to work together seamlessly using the devices that best suit to their role, task, and preferences while supporting the group awareness and team mental model .
Lire plus
Lire plus
Lire plus
Lire plus