MSI and data visualisation are essential because they make complex information accessible to people, thereby increasing the innovation and efficiency of an entire system. This plays an important role in the multidisciplinary challenges of aeronautics, space, energy, transport and security, because automation, digitalisation and virtualisation can be used more effectively throughout the product lifecycle. They improve the processing and understanding of large amounts of data, the interaction with complex systems and promote practical, sustainable and safe solutions. They also directly contribute to increasing efficiency, reducing emissions and ensuring safety, supporting the energy transition and facilitating the implementation of new mobility concepts.

Research and development in human-system interaction and data visualisation aims to make complex data intuitively understandable, optimise the user experience and support decision-making. This makes technologies more accessible and effective for users.

A research focus in this area is the visualisation of data and information for understanding complex spatial software, digital development processes, and scientific and abstract data and knowledge graphs. For example, to facilitate interaction with complex systems and to develop transparent, trustworthy AI systems. Empirical research and human-centred development create intuitive tools for application-oriented, safe and sustainable software solutions. Qualitative and quantitative methods are used to optimally adapt software tools and technologies to human capabilities and needs, thus enabling acceptance and satisfaction with the solutions.