9th Workshop Automotive HMIs: Natural and Adaptive UIs to Support Future Vehicles

Andreas Riener, Bastian Pfleging, Henrik Detjen, Michael Braun, Jakob Peintner

Research output: Contribution to conferencePaperAcademic

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Abstract

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.
Original languageEnglish
Number of pages3
DOIs
Publication statusPublished - 5 Sep 2021
EventMensch und Computer 2021: Aufbruch in eine neue Zukunft - virtual event, Ingolstadt, Germany
Duration: 5 Sep 20218 Sep 2021
https://muc2021.mensch-und-computer.de
https://muc2021.mensch-und-computer.de/

Conference

ConferenceMensch und Computer 2021
Country/TerritoryGermany
CityIngolstadt
Period5/09/218/09/21
Internet address

Keywords

  • contextual UIs
  • automotive hmis
  • automated driving
  • natural interaction
  • adaptive interfaces

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