Boyle, L.N., Noble, A.M., Merat, N. orcid.org/0000-0003-4140-9948 et al. (5 more authors) (2026) Workshop on Redefining the Relationship Between Human Operator and Driver Monitoring System (DMS): From Passive Safety to Active Partnerships. In: AutomotiveUI Adjunct '26: Adjunct Proceedings of the 18th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. AutomotiveUI Adjunct '26: 18th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 20-23 Sep 2026, Gothenburg, Sweden. Association for Computing Machinery (ACM), New York, NY, United States, pp. 358-361. ISBN: 979-8-4007-2815-0.
Abstract
Driver monitoring systems are typically designed to detect driver states and as appropriate, issue corrective warning and/or take action (alert, takeover, etc.). Current warning strategies are designed by a rule-based deterministic model, given ease in certification and predictability, with little or no personalization and adaptation to a driver’s individualistic profile and preferences. However, long-term effectiveness of these systems, including wider adoption, depends not only on detection accuracy, but on whether drivers perceive the system to be useful, trustworthy, and supportive. In this workshop, we discuss the benefits of a value-in-use approach that provides context-sensitive interventions to account for driver, situational, and environmental variations. The term “value-in-use” refers to the concept that a system’s worth is determined by what it can deliver to the driver in a real-world setting. Drivers are more likely to accept and benefit from a driver monitoring system that is viewed as a partner in safe driving rather than an intrusive or punitive supervisor. This workshop will present a conceptual roadmap that addresses the questions, “Does the system create value for the driver for real world use” and “What relationships (or partnerships) should exist between humans and systems to provide value?” The workshop advocates moving beyond compliance-oriented warning logic towards a user-centered paradigm in which driver monitoring systems create value through adaptive, relational, and meaningful support, in use. Participants will be asked to provide use case scenarios based on a shared understanding of the possible partnerships that can evolve during a trip.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. |
| Keywords: | driver monitoring systems, human-AI partnership, trust in automation, value-in-use |
| 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) > ITS: Safety and Technology (Leeds) |
| Funding Information: | Funder Grant number Horizon 2020, European Commission 101006664 EPSRC Accounts Payable EP/R511717/1 EPSRC Accounts Payable EP/K503836/1 EPSRC Accounts Payable EP/K503836/1 |
| Date Deposited: | 09 Nov 2026 14:43 |
| Last Modified: | 09 Nov 2026 14:43 |
| Published Version: | https://dl.acm.org/doi/10.1145/3828158.3834795 |
| Status: | Published |
| Publisher: | Association for Computing Machinery (ACM) |
| Identification Number: | 10.1145/3828158.3834795 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:247522 |
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