With constantly growing automation capabilities in vehicles, the way we interact with them has already begun to change.
Whereas automotive design has been based on technical considerations (speed, handling, etc.) for a long time, the non-involvement of the human in the driving task, creates new requirements while being mobile.
Not only will drivers become passengers, but the classical journey, e.g., visiting a friend in the next town, might start by foot and E-Bike, continue per train, and end with ordering an autonomous Robotaxi for the last mile.
Given the service orientation of future mobility, the journey experience will be what users care for, and in that sense, the experience that fits their needs best.

In this thesis, we provide answers to the question of how users' needs and goals will change in future autonomous mobility services compared to today's individual transport. Thereby, we focus on in-vehicle interaction between users and vehicle automation.
Further, we look at how to improve the users' safety and overall experience during automated and autonomous driving modes.
In particular, we aim to bridge the gulfs of evaluation and execution of automated driving. We design and evaluate interfaces that are based on user needs and goals and provide them with maneuver-based control to intervene in the driving process and augmented reality interfaces that help understand and predict the vehicle's driving process.
From these design studies, we derive lessons learned and design recommendations for future automated vehicles.

This thesis contributes to the understanding of user needs and goals for future automated vehicles and corresponding design requirements, and, thus, helps to shape the transformation towards autonomous mobility.