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MCI-WS15: 8th Workshop Automotive HMIs: UI Research in the Age of New Digital Realities
Sonntag, 08.09.2019:
9:00 - 17:30

Chair der Sitzung: Andreas Riener
Chair der Sitzung: Stefan Geisler
Chair der Sitzung: Bastian Pfleging
Chair der Sitzung: Henrik Detjen
Ort: Ost Seminarraum 123
Ost, Seminarraum 123, (loses Gestühl), Kapazität 45

Zusammenfassung der Sitzung

Even though many aspects of automated driving have not yet become reality, many human factors issues have
already been investigated. However, recent discussions revealed common misconceptions in both research and
society about vehicle automation and the levels of automation levels. This might be due to the fact that automated
driving functions are misnamed (cf. Autopilot) and that vehicles integrate functions at different automation levels
(L1 lane keeping assistant, L2/L3 traffic jam assist, L4 valet parking). The user interface is one of the most critical
issues in the interaction between humans and vehicles - and diverging mental models might be a major challenge
here. Today’s (manual) vehicles are ill-suited for appropriate HMI testing for automated vehicles. Instead, virtual
or mixed reality might be a much better playground to test new interaction concepts in an automated driving
setting. In this workshop - motivated by the conference theme - we will look into the potential of new digital
realities for concepts, visualizations, and experiments in the car, e.g., by replacing all the windows with displays
or transferring the entire environment into a VR world. We are further interested in discussing novel forms of
interaction (speech, gestures, gaze-based interaction) and information displays to support the driver/passenger.

Externe Ressource:

Adaptive Dark Mode: Investigating Text and Transparency of Windshield Display Content for Automated Driving

Andreas Riegler1, Andreas Riener2, Clemens Holzmann1

1University of Applied Sciences Upper Austria; 2Technische Hochschule Ingolstadt

Windshield displays are a promising technology for automotive application. In combination with the emergence of highly automated vehicles, chances are that work-related activities will become more popular on the daily commute to and from work. While windshield displays can show content relevant for non-driving related activities, little information is available on how potential users would utilize these displays in terms of text and background color as well as transparency usage. In this paper, we present the results of two user studies (pilot study: N = 10, main study: N = 20) addressing this issue. Findings from quantitative measurements and qualitative pre-/post study surveys and interviews suggest a strong preference for the chat window being located on the driver side presented in dark mode with adaptive background transparency levels based on the luminance of the outside environment.

Autonome Fahrzeuge: Von Akzeptanz zu Wohlbefinden

Stefan Geisler

Hochschule Ruhr West, Deutschland

Die breite Einführung autonomer Fahrzeuge, ob für den Individualverkehr oder auch den öffentlichen Nahverkehr, ist nur noch eine Frage der Zeit. Dies bedeutet unweigerlich, dass in absehbarer Zeit alle Verkehrsteilnehmer*innen mit dieser Art von Fahrzeugen in Berührung kommen werden. In diesem Artikel soll diskutiert werden, wie Ansätze des Positive Computing helfen können, die Ausgestaltung der automatisierten Fahrzeuge so vorzunehmen, dass sie zum Wohlbefinden der Menschen in Verkehrssituationen beitragen.

Investigating Car Futures from Different Angles

Gunnar Stevens1, Johanna Meurer1, Christina Pakusch2, Paul Bossauer2

1University of Siegen, Germany; 2Bonn-Rhein-Sieg University of Applied Sciences, Germany

The design of self-driving cars is one of the most exciting and ambitious challenges of our days and every day, new research work is published. In order to give an orientation, this article will present an overview of various methods used to study the human side of autonomous driving. Simplifying roughly, you can distinguish between design science-oriented methods (such as Research through Design, Wizard of Oz or driving simulator ) and behavioral science methods (such as survey, interview, and observation). We show how these methods are adopted in the context of autonomous driving research and dis-cuss their strengths and weaknesses. Due to the complexity of the topic, we will show that mixed method approaches will be suitable to explore the impact of autonomous driving on different levels: the individual, the social interaction and society.

A real-world driving experiment to collect expert knowledge for the design of AR HUD navigation that covers less

Matthias Schneider1,2, Anna Bruder1, Marc Necker1, Tim Schluesener1, Niels Henze2, Christian Wolff2

1Daimler AG, Deutschland; 2Lehrstuhl für Medieninformatik, Universität Regensburg, Deutschland

Augmented reality head-up displays (AR HUD) can be seen as a promising advancement of conventional head-up displays in vehicles. Information can be displayed in a contact analogue way in the real world by projecting it onto the vehicle’s windshield. Two major challenges for concept developers are to reduce masking caused by augmented reality (AR) content and to create concepts that work with the limited field of view (FOV). To examine these two challenges, we designed two contact analogue navigation concepts. We compared them to each other in a field study with a prototype car that contained a complete AR HUD testing environment. The participants were experts in interaction design, AR, HUDs, design, and sales. The experiment showed that the application of Gestalt Principles for AR HUD concept design to reduce masking can be a promising approach. In addition, suggestions for further improvement of contact analogue navigation concepts were collected.