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Methodologies to Understand the Road User Needs When Interacting with Automated Vehicles

Portouli, Evangelia and Nathanael, Dimitris and Amditis, Angelos and Merat, Natasha and Uttley, Jim and Giles, Oscar and Markkula, Gustav and Dietrich, André and Schieben, Anna and Jenness, James (2019) Methodologies to Understand the Road User Needs When Interacting with Automated Vehicles. In: LECTURE NOTES IN COMPUTER SCIENCE, pp. 35-45. Springer. HCI International Conference 2019, 26-31 Juli 2019, Orlando, USA. DOI: 10.1007/978-3-030-22666-4 ISBN 978-3-030-22666-4

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Official URL: https://link.springer.com/book/10.1007/978-3-030-22666-4#toc

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. Realtime 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.

Item URL in elib:https://elib.dlr.de/129969/
Document Type:Conference or Workshop Item (Speech)
Title:Methodologies to Understand the Road User Needs When Interacting with Automated Vehicles
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Portouli, EvangeliaICCSUNSPECIFIED
Nathanael, DimitrisICCsUNSPECIFIED
Amditis, AngelosICCSUNSPECIFIED
Merat, NatashaITS LeedsUNSPECIFIED
Uttley, JimITS LeedsUNSPECIFIED
Giles, OscarITS LeedsUNSPECIFIED
Markkula, Gustavits leedsUNSPECIFIED
Dietrich, AndréTUMUNSPECIFIED
Schieben, AnnaDLRhttps://orcid.org/0000-0003-3608-2004
Jenness, JamesWestatUNSPECIFIED
Date:2019
Journal or Publication Title:LECTURE NOTES IN COMPUTER SCIENCE
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1007/978-3-030-22666-4
Page Range:pp. 35-45
Editors:
EditorsEmail
Krömker, HeidiTechnische Universität Ilmenau
Publisher:Springer
Series Name:Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
ISBN:978-3-030-22666-4
Status:Published
Keywords:Automated vehicles; Interactions among road users; � Methodologies
Event Title:HCI International Conference 2019
Event Location:Orlando, USA
Event Type:international Conference
Event Dates:26-31 Juli 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Energie und Verkehr
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems
Deposited By: Schieben, Anna Maria
Deposited On:06 Nov 2019 10:54
Last Modified:20 Jan 2020 12:22

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