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Efficient Communication of Automated Vehicles and Manually Driven Vehicles Through an External Human-Machine Interface (eHMI): Evaluation at T-Junctions

Avsar, Hüseyin and Utesch, Fabian and Wilbrink, Marc and Oehl, Michael and Schießl, Caroline (2021) Efficient Communication of Automated Vehicles and Manually Driven Vehicles Through an External Human-Machine Interface (eHMI): Evaluation at T-Junctions. In: 23rd International Conference on Human-Computer Interaction, HCII 2021, pp. 224-232. Springer. International Conference on Human-Computer Interaction 2021, 24 - 29 July 2021, virtual. doi: 10.1007/978-3-030-78645-8_28. ISBN 978-303090175-2. ISSN 1865-0929.

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Official URL: https://link.springer.com/chapter/10.1007/978-3-030-78645-8_28

Abstract

The absence of a human driver in an automated vehicle (AV) raises new challenges in communication and cooperation between road users, especially for ambiguous situations where road users would like to communicate their intention explicitly. This paper investigates the effect of a novel external human-machine interface (eHMI) which was designed to address this issue by signaling the AV’s intention through a 360° LED light-band mounted outside of the AV. In a simulator study an eHMI interaction strategy was implemented that should convey the message “I am giving way” to a manually driven vehicle operated by participants waiting at a t-junction. The experimental study incorporated three t-junction scenarios where the AV had always the right of way but may yield to a driver waiting at the intersection. The intention of the AV was communicated either implicitly (braking) or implicitly and explicitly (braking and eHMI). It was analyzed whether participants would understand the AV’s intention and accept the gap provided in front of the AV. Through participants’ subjective ratings the understandability, the usability and the acceptance of the eHMI solution were evaluated. The results showed that the majority of participants (85%) understood the meaning of the eHMI signal after two interactions. Initial gap acceptance results showed a positive effect of the eHMI solution. The presence of an eHMI improved participants perceived safety and trust. Subjective ratings for usability and acceptance indicated that participants perceived this eHMI interaction strategy as easy to use and were willing to communicate with an AV in this way. The results of the present study will be used to investigate the beneficial impact of this eHMI interaction strategy further in more complex traffic scenarios.

Item URL in elib:https://elib.dlr.de/144721/
Document Type:Conference or Workshop Item (Poster)
Title:Efficient Communication of Automated Vehicles and Manually Driven Vehicles Through an External Human-Machine Interface (eHMI): Evaluation at T-Junctions
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Avsar, HüseyinUNSPECIFIEDUNSPECIFIED
Utesch, FabianUNSPECIFIEDhttps://orcid.org/0000-0003-3830-5777
Wilbrink, MarcUNSPECIFIEDhttps://orcid.org/0000-0002-7550-8613
Oehl, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-0871-2286
Schießl, CarolineUNSPECIFIEDUNSPECIFIED
Date:3 July 2021
Journal or Publication Title:23rd International Conference on Human-Computer Interaction, HCII 2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1007/978-3-030-78645-8_28
Page Range:pp. 224-232
Publisher:Springer
Series Name:International Conference on Human-Computer Interaction
ISSN:1865-0929
ISBN:978-303090175-2
Status:Published
Keywords:Automotive user interfaces, External human-machine interface, Automated vehicles t-junctions, Gap acceptance, Usability
Event Title:International Conference on Human-Computer Interaction 2021
Event Location:virtual
Event Type:international Conference
Event Dates:24 - 29 July 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems
Deposited By: Avsar, Hüseyin
Deposited On:10 Nov 2021 14:54
Last Modified:05 Dec 2022 11:52

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