Haptic Icons: A Hands-On Approach to Haptic HMI in Automated Vehicles

This paper examines the potential integration of haptic feedback on steering wheels for automated driving applications, with a particular focus on transitions between automated and manual modes, takeover requests, and warnings. An iterative, three-phase methodology was employed: (1) The initial set...

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Bibliographic Details
Main Authors: Joseba Sarabia, Myriam Vaca, Mauricio Marcano, Sergio Diaz, Joshue Perez Rastelli, Asier Zubizarreta
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
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Online Access:https://ieeexplore.ieee.org/document/10982355/
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Summary:This paper examines the potential integration of haptic feedback on steering wheels for automated driving applications, with a particular focus on transitions between automated and manual modes, takeover requests, and warnings. An iterative, three-phase methodology was employed: (1) The initial set of haptic notifications was designed based on input from the literature review, (2) These notifications were then tested in a driving simulator to identify the most effective options, and (3) The selected notifications were evaluated in a dynamic simulator under realistic conditions, including noise, vibration, and harshness (NVH). User studies were conducted at each phase to gather subjective metrics and validate the usability of the haptic feedback. The results demonstrate that specific haptic patterns enhance driver situational awareness and improve transitions between driving modes compared to conventional auditory signals, contributing to safer human-machine interaction in automated vehicles.
ISSN:2687-7813