15th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications - Workshop
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What do we mean by cognitive load? Towards more accurate definition of the term for better identification by driver monitoring systems
Courtney M. Goodridge
Rafael Gonçalves
İbrahim Öztürk
Natasha Merat
Institute for Transport Studies,
University of Leeds, 36-40 University
Rd, Leeds LS2 9JT, UK
Workshop Abstract
Workshop 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.
Schedule
Schedule
Introductory talks - Academic and regulatory perspectives (60 minutes):
1. Introductory presentation from Leeds panel members outlining aims and outcomes from the workshop
2. Keynote presentation from Professor Oliver Carsten on the regulatory angle of identifying cognitive load in the real world
3. Keynote presentation from Professor Birsen Donmez on the academic literature of cognitive load: what has been found, and what are the challenges.
Breakout session part 1 - Taking cognitive load from the laboratory to the real world (80 minutes):
Key themes and discussion points:
1. What different cognitive load tasks are used in academic research?
2. How realistic are these tasks versus real world non-driving related tasks?
3. How do we account for behavioural adaptation and individual differences in the real world?
Break (20 minutes)
Breakout session part 2 - Measuring and assessing the state of the driver (80 minutes):
Key themes and discussion points:
1. How do we measure cognitive load?
2. What suitable metrics can DMS manufacturers use to measure driver state?
3. What ground truths be used to assess driver state measures?
Organizers
Organizers
Dr Courtney M. Goodridge is an Experimental Psychologist and a Research Fellow member of the Human Factors and Safety Group and Institute for Transport Studies, University of Leeds. He is primarily interested in using statistical models to understand human cognition, driving behaviour, and takeover performance.
Dr Rafael C. Gonçalves is an human factors specialist and research fellow at the University of Leeds, Institute for Transport Studies. Dr. Gonçalves' work mainly focuses on vehicle automation and cognitive models, assessing drivers' state to predict their takeover performance.
Dr İbrahim Öztürk is a Traffic and Transportation Psychologist and a research fellow member of the Human Factors and Safety Group and Institute for Transport Studies, University of Leeds. He is primarily interested in individual and cultural differences in road user behaviours, the interaction between road users and vehicle technologies and their antecedents.
Professor Merat is an experimental psychologist and research group leader of the Human Factors and Safety Group, @ITS Leeds. She also leads the Automation theme, at Leeds and is responsible for the strategic direction of research conducted @Virtuocity. Her main research interests are in understanding the interaction of road users with new technologies.
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