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MCI-WS10: 9th Workshop Automotive HMIs: Natural and Adaptive UIs to Support Future Cars

September 5, 2021 @ 09:00 - 12:00

Riener, Andreas (1), Pfleging, Bastian (2), Detjen, Henrik (3), Braun, Michael (4), Peintner, Jakob (1)

1: Technische Hochschule Ingolstadt (THI), Germany, 2: Eindhoven University of Technology, The Netherlands, 3: Hochschule Ruhr-West, Germany, 4: BMW Group Research, Germany



Modern vehicles allow control by the driver with multimodal user interfaces (UIs), touch interaction on screens, speech input, and mid-air gestures. Such UIs are driver-focused and optimized for limited distraction to not compromise road safety in manual driving. Nevertheless, they are often complex and it might be difficult to find specific features. Automated driving in L3+ will disrupt the design of automotive UIs as drivers become passengers, at least for certain parts along the way. Similarly, the car is being transformed into a social space where passengers can be granted control over systems because they can devote their full attention without imposing safety risks. The complexity of advanced driver assistance, in-vehicle information and interaction systems requires explanation to the user, e.g., in which state the system is, interaction possibilities, expectations from the driver or take over timing. We expect novel technologies to allow for natural interaction and adaptivity to design valuable and future-proof interaction concepts for the changing interior of (automated) vehicles. The goal of this workshop is, thus, to discuss how natural and adaptive user interfaces can help to solve the mentioned challenges and to identify opportunities for future research and collaboration.



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Evaluating a Smart Car Interface in Terms of Usability, User Experience and User Acceptance

Mario Avramidis, Christiane Kellner, Josefine Staudt, Verena Zimmermann, Nina Gerber
Technische Universität Darmstadt, Deutschland

Although the automation of cars aims to facilitate driving, current systems still rely on the driver for handling critical driving situations. As long as fully automatic systems are not available, the driver has to be supported in the take-over maneuver. We thus propose an interface that relies on auditory and visual signals to support the take-over process. Our interface further provides assistance for driving in poor visibility conditions, such as bad weather or darkness, by highlighting other traffic participants and lane boundaries. An online evaluation of our interface with 22 participants indicates a good usability, user experience, and acceptance.

Akzeptanz von Fahrerassistenzsystemen – eine qualitative Analyse und Konzeptualisierung von Probanden-Empfindungen

Tim Driesen-Micklitz1, Adrian Merker1, Alexander Stocker2, Michael Fellmann1, Carsten Röcker3
1University of Rostock, Rostock; 2Virtual Vehicle Research GmbH, Graz; 3Fraunhofer Application Center Industrial Automation, Lemgo

Als Nutzer eines Fahrzeuges Teile der Fahraufgabe oder sogar die vollständige Kontrolle über ein Fahrzeug an Fahrerassistenzsysteme zu delegieren, ist technisch ein Meilenstein in der Automobilentwicklung. Gleichwohl ist es für Nutzer ungewohnt und erfordert ein hohes Maß an Vertrauen und Akzeptanz. Daher ist es von hohem Interesse für Wissenschaft und Praxis, wie Nutzer von Fahrerassistenzsysteme deren Funktionalitäten und Verhaltensweisen wahrnehmen. Nichtsdestotrotz existieren bisher vergleichbar wenig umfassende Studien, wie Nutzer solche Systeme unter Realbedingungen im öffentlichen Straßenverkehr wahrnehmen. Der vorliegende Beitrag analysiert die positiven und negativen Empfindungen von Probanden hinsichtlich Fahrerassistenzsystemen anhand eines umfassenden Forschungsdatensatzes realer Autofahrten mit 100 an einer Feldstudie teilnehmenden Personen. Die untersuchten Fahrerassistenzsysteme werden nach den Funktionalitäten Automatic Cruise Control und Lenkassistent differenziert. Werden beide Systeme gleichzeitig aktiviert, so vermitteln sie das Gefühl eines Automatisierten Fahrens. Positive durch die Probanden wahrgenommene Empfindungen waren u.a. Komfortgewinn, insb. gegenüber der adaptiven Abstandshaltung. Als negativ wurden die Aspekte Kontrollverlust, Beschleunigungsverhalten, Fahrer-Fahrzeug Interaktion, fehlende Zuverlässigkeit und hohe notwendige Konzentration empfunden. Beiträge zur Theorie bestehen einerseits in dem entwickelnden Kategorienschema für positive bzw. negative Systemempfindungen sowie aus den konkreten Ergebnissen, d.h. den erhobenen positiven bzw. negativen Empfindungen. Andererseits sind diese Erkenntnisse auch für Praktiker wertvoll, da sie in Produktentwicklungsprozesse einfließen können.

A Platform for Rapid Prototyping and Evaluation of Concepts for Interactive In-Vehicle Displays for Automated Vehicles

Aditya Dandekar1, Lesley-Ann Mathis2, Bastian Pfleging1
1TU Eindhoven, Netherlands; 2University of Stuttgart, Institute of Human Factors and Technology Management, Germany

Nowadays, automotive user interface research strives towards investigating automated vehicles. To test user concepts, especially pertaining to fully automated vehicles, several methods are evolving, such as Virtual Reality studies, simulator studies, or Wizard-of-Oz experiments. In all of these methods, researchers need to find an appropriate driving environment which is often created through a driving simulator or a real-life driving video. There is a lack of tools which give researchers the opportunity to rapidly create prototypes for their evaluation. To solve this issue for the case of investigating interactions with windshield displays and dashboards, we design a tool that can be used to support these studies and interfaces in various context. The experimenter can develop a virtual user interface through our platform. The interface can be deployed either in a lab setting where the driving context is provided through simulation or recorded driving videos, or it can be easily deployed in a Wizard-of-Oz car. In this position paper, we present the framework of the tool and foster the discussion for such an idea and its use cases.




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September 5, 2021
09:00 - 12:00