Mulhall, M.D., McKerral, A., Yang, S. et al. (4 more authors) (2023) Workshop on HMI Design in the Context of DMS and Automation: How Should the System Respond? In: AutomotiveUI '23 Adjunct: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 18-22 Sep 2023, Ingolstadt, Germany.
Abstract
Camera-based driver monitoring systems (DMS) are a mature technology capable of reliably detecting a wide range of driver behaviours and states [3, 7]. However, fully realising the safety potential of DMS requires accurate monitoring be paired with effective human-machine interfaces (HMI) to facilitate behavioural change when risky behaviours or unsafe driver states are detected. Further, increasing levels of driving automation pose challenges for researchers and manufacturers in determining how automated components of the vehicle-system should react when such states are detected. This workshop will address the issue of DMS-HMI integration by providing a space for collaborators to discuss key emerging issues for driver monitoring and HMI response. The organisers will present an introduction to DMS concepts and industry standards, and outline the challenge of implementing DMS in both manual and assisted driving environments, followed by small-group discussions. The organisers will combine industry and academic perspectives to facilitate problem solving with participants.
Metadata
Item Type: | Conference or Workshop Item |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Funding Information: | Funder Grant number EU - European Union 101006664 |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Jul 2025 13:49 |
Last Modified: | 25 Jul 2025 13:49 |
Published Version: | https://dl.acm.org/doi/10.1145/3581961.3609826 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Identification Number: | 10.1145/3581961.3609826 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:229382 |