Under the question of benchmarking for buildings, the "Autodiagnosis" working group investigated whether a building can independently investigate and decide how the occupants feel inside (self-diagnosis). For this purpose, possible factors influencing the feeling of well-being were surveyed in a first step. These are divided into factors that can be measured with sensors (quantitative) and those that cannot be measured with sensors (qualitative). The quantitative factors include, for example: temperature, humidity, CO2 content, odorants and particles, brightness and light color, density of people and sound. Qualitative factors included: location, materialization, culture, personal health level, stress, sensations or fitness.

In an accompanying student project, a prototype was developed which measures a large part of the quantitative factors via various sensors. The qualitative factors are collected via a touch display. The evaluation is carried out via a cloud solution. The prototype was set up in two phases in the Department of Computer Science and the user feedback as well as the measured sensor values were recorded. By evaluating the correlations between the measured values, a first "well-being index" was calculated. This was verified in a second phase.

The project has shown what possibilities today's sensors and IoT (Internet of Things) devices offer. However, correlations between visualizations of an index and user reactions also became visible. Further research activities could follow here. At the same time, the working group thought about possible business models. It became clear that there is a conflict of interest between the stakeholders of a building and that the willingness to pay for such measurements is hardly given.