Portouli, E, Nathanael, D, Amditis, A et al. (8 more authors) (2019) Methodologies to Understand the Road User Needs When Interacting with Automated Vehicles. In: Human-Computer Interaction International (HCI) in Mobility, Transport, and Automotive Systems (Lecture Notes in Computer Science). 21st International Conference on Human-Computer Interaction, 26-31 Jul 2019, Orlando, Florida. Springer , pp. 35-45. ISBN 9783030226657
Abstract
Interactions among road users play an important role for road safety and fluent traffic. In order to design appropriate interaction strategies for automated vehicles, observational studies were conducted in Athens (Greece), Munich (Germany), Leeds (UK) and in Rockville, MD (USA). Naturalistic behaviour was studied, as it may expose interesting scenarios not encountered in controlled conditions. Video and LiDAR recordings were used to extract kinematic information of all road users involved in an interaction and to develop appropriate kinematic models that can be used to predict other’s behaviour or plan the behaviour of an automated vehicle. Manual on-site observations of interactions provided additional behavioural information that may not have been visible via the overhead camera or LiDAR recordings. Verbal protocols were also applied to get a more direct recording of the human thought process. Real-time verbal reports deliver a richness of information that is inaccessible by purely quantitative data but they may pose excessive cognitive workload and remain incomplete. A retrospective commentary was applied in complex traffic environment, which however carries an increased risk of omission, rationalization and reconstruction. This is why it was applied while the participants were watching videos from their eye gaze recording. The commentaries revealed signals and cues used in interactions and in drivers’ decision-making, that cannot be captured by objective methods. Multiple methods need to be combined, objective and qualitative ones, depending on the specific objectives of each future study.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Nature Switzerland AG 2019. This is an author produced version of a paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Automated vehicles; Interactions among road users; Methodologies |
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: | 08 Nov 2019 10:55 |
Last Modified: | 08 Nov 2019 10:55 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/978-3-030-22666-4_3 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153191 |