Goodridge, C.M. orcid.org/0009-0002-3383-2789, Gonçalves, R.C. orcid.org/0000-0002-5426-7654 and Öztürk, İ orcid.org/0000-0002-5113-1225 (2023) What do we mean by cognitive load? Towards more accurate definition of the term for better identification by driver monitoring systems. In: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. AutomotiveUI '23: 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 18-22 Sep 2023, Ingolstadt, Germany. ACM , New York, United States , pp. 256-269. ISBN 979-8-4007-0112-2
Abstract
The 2023 European New Car Assessment Programme (Euro NCAP) [9] protocol states that Original Equipment Manufacturers (OEMs) should include Driver Monitoring Systems (DMS) and appropriate technical assessment dossiers for evaluation by driving authorities. This includes demonstrating how the system can identify elements of driver state; driver distractions, fatigue, and unresponsiveness. Whilst visual distractions have been detailed extensively, cognitive distraction has received less attention within these protocols. Part of the reason for this could be the lack of understanding or general consensus on cognitive distraction within the context of driver state. For example, how do we assess driver state, how do we develop ground truths, how much distraction should be considered too much, and what is and is not considered cognitive? To answer these questions, workshop participants will focus on the methods and metrics used to assess cognitive load and the impact this has on driver state and performance; whether during manual driving, monitoring an automated vehicle, or during takeovers after periods of automation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of a proceedings paper published in the Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Driver state monitoring, Driver distraction, Cognitive load, Performance estimation |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Oct 2023 14:27 |
Last Modified: | 20 May 2024 12:24 |
Published Version: | https://dl.acm.org/doi/10.1145/3581961.3609839 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/3581961.3609839 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:203595 |