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Auflistung nach Schlagwort "eHMI"

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  • Workshopbeitrag
    Accessible Automated Automotive Workshop Series (A3WS): Focus External Human-Machine Interfaces (eHMIs)
    (Mensch und Computer 2022 - Workshopband, 2022) Haimerl, Mathias; Colley, Mark; Löcken, Andreas; Riener, Andreas
    With modernizing traffic, a rise of automated vehicles (AVs) is expected. As AVs potentially need to communicate their intentions, external human-machine interfaces (eHMIs) seem to be an appropriate solution. While automotive research progresses quickly, people with special needs (PSN) are vastly underrepresented. With an aging population due to demographic changes and advances in medical treatments and with the stride towards equality and accessibility, the needs of these groups also have to be considered in the automotive domain. We provide an inclusive platform for interdisciplinary exchange on current and future topics, especially for academia, industry, and politics. This enables different perspectives with particular (but not exclusive) regard to user experience (UX) and psychology, product design, legislative concerns and, thus, support the communication and potentially founding of new topic streams. The aim is to create new interdisciplinary networks and collaborations to make future developments on vehicle-to-human (V2H) communication more inclusive.
  • Zeitschriftenartikel
    Communicating the intention of an automated vehicle to pedestrians: The contributions of eHMI and vehicle behavior
    (it - Information Technology: Vol. 63, No. 2, 2021) Dey, Debargha; Matviienko, Andrii; Berger, Melanie; Pfleging, Bastian; Martens, Marieke; Terken, Jacques
    External Human-Machine Interfaces (eHMIs) are expected to bridge the communication gap between an automated vehicle (AV) and pedestrians to replace the missing driver-pedestrian interaction. However, the relative impact of movement-based implicit communication and explicit communication with the aid of eHMIs on pedestrians has not been studied and empirically evaluated. In this study, we pit messages from an eHMI against different driving behaviors of an AV that yields to a pedestrian to understand whether pedestrians tend to pay more attention to the motion dynamics of the car or the eHMI in making road-crossing decisions. Our contributions are twofold: we investigate (1) whether the presence of eHMIs has any objective effect on pedestrians’ understanding of the vehicle’s intent, and (2) how the movement dynamics of the vehicle affect the perception of the vehicle intent and interact with the impact of an eHMI. Results show that (1) eHMIs help in convincing pedestrians of the vehicle’s yielding intention, particularly when the speed of the vehicle is slow enough to not be an obvious threat, but still fast enough to raise a doubt about a vehicle’s stopping intention, and (2) pedestrians do not blindly trust the eHMI: when the eHMI message and the vehicle’s movement pattern contradict, pedestrians fall back to movement-based cues. Our results imply that when explicit communication (eHMI) and implicit communication (motion-dynamics and kinematics) are in alignment and work in tandem, communication of the AV’s yielding intention can be facilitated most effectively. This insight can be useful in designing the optimal interaction between AVs and pedestrians from a user-centered design perspective when driver-centric communication is not available.