Within the research project SALSA funded by the German Federal Ministry for Economic Affairs and Energy (https://projekt-salsa.de/), a human machine interface (HMI) system for automated driving is developed to teach users capabilities and limitations of different automation levels before, during and after the drive. By employing an iterative user-centered design approach, the needs of different user groups are considered from the first stages of development. The study to be presented at the congress aims to obtain user feedback on innovative ideas of three concepts for teaching automated driving functions. The concepts, presented in the shape of user narratives, differ in how users are motivated to behave in accordance with the respective automation level, how trust in the system is fostered, the extent to which individual user characteristics are taken into account, and when and through which media information is conveyed. In the qualitative interview study, the three concepts are evaluated by four different user groups, that are expected to have diverse requirements for an automated driving education system. The results reveal ambivalent attitudes toward many of the ideas, particularly regarding ideas in which the HMI employed an emotional communication style. While some participants preferred a playful and emotional tone, others favoured a factual and rational style of communication. These findings suggest that one-fits-all HMI concepts for teaching automated driving functions may not adequately address the diverse needs of users. The participants’ feedback will inform further refinement of the concepts which will subsequently be evaluated in a driving simulator study.