Human Centered Engineering is an interdisciplinary field studying the design, development, and deployment of computing systems to understand and support users’ activities. We employ design thinking approaches to find convincing solutions from the user’s perspective.
One exemplary project investigates selected research problems of interactive recommender systems, especially in mobile scenarios. The main goal is to improve user experience through services tailored to the user's context and thus improve the user experience. Another example area focuses on social computing. We aim at modeling and instantiating long-term and short-term social contexts as well as investigating possible use cases in context-aware social computing applications. Research methodologies range from design science and human-computer interaction methods to machine learning and data analysis techniques employing large datasets from the social web.
Peter Struss, Apl. Prof. Dr. rer. nat. habil.
Enable develops new strategies to promote healthier food choices in different stages of human life. The Cluster consists of interdisciplinary research groups. Scientists from TUM-Informatics make a considerable contribution to the cluster’s work in the field of modern information and communications technology like APPs or PC games transmitting knowledge to specifically promote healthy products and nutrition.
TUM Living Lab Connected Mobility
To support the digital transformation in the area of Smart Mobility and Smart City, the TUM Living Lab Connected Mobility (TUM LLCM) research project was initiated, and is funded by the Bavarian Ministry of Economic Affairs and Media, Energy and Technology (StMWi) through the Center Digitisation.Bavaria, an initiative of the Bavarian State Government.