The next big change in the automotive domain will be the move towards semi-automated and automated driving. The pathway to autonomous driving supported by rapid advance of a wide range of novel vehicle-related technology presents industry, academia, and regulatory agencies with new opportunities and challenges in re-imagining human interactions in the vehicle. While expectations are high towards automated driving the revolution will proceed in incremental steps; with the progress of technology new tasks and driving phases will be supported by automation. All of this will unfold in traffic scenarios in which different levels of automation will coexist for many years in which user interfaces play a key role.

We see three core challenges for automotive user interfaces in the age of automation, which we want to address during the seminar.

1. Productivity and play in the car: With advancing levels of automation, driver and also passengers will have more time and attention for non-driving tasks. Thus, we will be able to more freely explore a range of possible interactions: manual, visual, auditory, and tactile. For coming years we need to explore interfaces and applications that make driving safe while enabling communication, work, and play in human-operated vehicles. Novel user interfaces may turn the car into an infotainment and entertainment platform in which the automation allows for new secondary tasks in the car with driver and passengers that were not possible before.
2. Engagement and re-engagement of drivers into the driving task: While automation will allow us to disengage from driving, we need to develop methods to re-engage in driving. As interruptions may vary in time but also the engagement of the user in a second task, it will be a challenge to safely and timely return to the primary task. Much work needs to be done on user interface design in order to make re-engagement in different kind of situations and different kind of complexity work and safe.
3. Collaboration in mixed traffic scenarios: Traffic automation will come to the streets gradually and mixed scenarios with vehicles with no, partial, and full automation will coexist in daily traffic for many years. This involves, amongst others, communicating autonomous operations to the driver of the autonomous car and also communication strategies to keep non-autonomous vehicles, their drivers, as well as other (vulnerable) road users in the loop.

Along with these topics we will also discuss the role of trust, e.g., how user interfaces will support the communication of trust in typical situations with mixed levels of automation. We will further discuss about future technologies in and around the car (e.g., novel sensors and feedback systems) and about the recent strategy change of automakers to fund apps and invest a lot in app development to make car dashboards/instrument clusters more sustainable.

This Dagstuhl Seminar will bring together researchers from human computer interaction, cognitive psychology, human factors, psychology, and also from automotive industry and OEMs to discuss the new interface paradigms for (semi)automated driving. One of the core outcomes will be a research agenda for in vehicle user interfaces moving towards different levels of automation in mixed traffic scenarios.

• Ignacio J. Alvarez (Intel - Hillsboro, US) [dblp]
• Martin Baumann (Universität Ulm, DE) [dblp]
• Susanne Boll (Universität Oldenburg, DE) [dblp]
• Linda Ng Boyle (University of Washington - Seattle, US) [dblp]
• Nora Broy (BMW Group - Garching, DE) [dblp]
• Duncan Brumby (University College London, GB) [dblp]
• Gary Burnett (University of Nottingham, GB) [dblp]
• Lewis Chuang (MPI für biologische Kybernetik - Tübingen, DE) [dblp]
• Frank Flemisch (Fraunhofer FKIE - Wachtberg, DE) [dblp]
• Anna-Katharina Frison (TH Ingolstadt, DE)
• Christian P. Janssen (Utrecht University, NL) [dblp]
• Myounghoon Jeon (Michigan Technological University, US) [dblp]
• Wendy Ju (Stanford University, US) [dblp]
• Andrew L. Kun (University of New Hampshire - Durham, US) [dblp]
• Andreas Löcken (Universität Oldenburg, DE) [dblp]
• Roderick McCall (Luxembourg Inst. of Science & Technology, LU) [dblp]
• Alexander Mirnig (Universität Salzburg, AT)
• Sebastian Osswald (Audi AG - Ingolstadt, DE) [dblp]
• Ingrid Pettersson (Volvo Cars & Chalmers - Göteborg) [dblp]
• Bastian Pfleging (LMU München, DE) [dblp]
• Ioannis Politis (University of Cambridge, GB) [dblp]
• Benjamin Poppinga (AUDI AG - Ingolstadt, DE) [dblp]
• Andreas Riener (TH Ingolstadt, DE) [dblp]
• Maria Rimini-Doering (Robert Bosch GmbH - Stuttgart, DE) [dblp]
• Shadan Sadeghian (OFFIS - Oldenburg, DE) [dblp]
• Albrecht Schmidt (Universität Stuttgart, DE) [dblp]
• Steven E. Shladover (University of California at Berkeley, US) [dblp]
• Christine Sutter (TU Darmstadt, DE) [dblp]
• Jacques Terken (TU Eindhoven, NL) [dblp]
• Mohan Trivedi (University of California, San Diego - La Jolla, US) [dblp]
• Philipp Wintersberger (TH Ingolstadt, DE) [dblp]
• Jürgen Ziegler (Universität Duisburg-Essen, DE) [dblp]