As part of our SmartMMI project, new technologies are being researched, from data collection and data integration to data visualization. During the field test, all interactions with the semi-transparent, multi-touch-enabled public displays called SmartWindow’s were stored in a database. Our contribution systematically analyzes the collected interaction data. This is realized through targeted SQL queries. In addition, evaluations and the created interactive visualizations are presented. The aim is to find out to what extent the collected users interaction data can be used to make statements about the mobility behavior of passengers and their willingness to accept or reject a ride. We report on the results of the interaction data analysis, the acceptance and usefulness of different interaction types. We also outline the effectiveness of the different interaction and visualization methods and the dependencies between those features as well as passenger types and public transport trip situations.