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Auflistung nach Schlagwort "Automotive HMIs"

1 - 3 von 3
  • Workshopbeitrag
    1st Workshop on “User Experience for Sustainability in the Age of Automated Driving and Electromobility”
    (Mensch und Computer 2021 - Workshopband, 2021) Holzhammer, Uwe; Lenz, Maximilian Josef; Riener, Andreas; Schweizer, Manuel; Tutunaru, Robin
    Automation and electromobility are disruptive technologies within the automotive industry at the beginning of the second decade of the 21st century. Both technologies combined are inherent in high potential to lower fuel/energy consumption and increase overall efficiency and thus sustainability in the transportation sector. However, the acceptance of fuel-saving driving modes and of electrified drivetrains is of fundamental importance. Therefor Automotive HMIs offer the possibility to inform the passengers about the environmental impact of their driving behavior or habits of use and enable to persuade towards a more sustainable lifestyle. This workshop is designed for UX researchers, students and interested citizens that want to participate in a discourse and design process for future automotive UIs. Using brainstorming methods combined with clustering of the ideas we will find out which information provided at which time is adequate to cause a change of behaviour which then diminishes the environmental impact of driving.
  • Workshopbeitrag
    8th Workshop Automotive HMIs: UI Research in the Age of New Digital Realities
    (Mensch und Computer 2019 - Workshopband, 2019) Riener, Andreas; Geisler, Stefan; Pfleging, Bastian; von Sawitzky, Tamara; Detjen, Henrik
    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.
  • Workshopbeitrag
    9thWorkshop Automotive HMIs: Natural and Adaptive UIs to Support Future Vehicles
    (Mensch und Computer 2021 - Workshopband, 2021) Riener, Andreas; Pfleging, Bastian; Detjen, Henrik; Braun, Michael; Peintner, Jakob
    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.