Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians

Debargha (Dave) Dey; Kai Holländer; Melanie Berger; J.H. (Berry) Eggen; Marieke H. Martens; B. Pfleging; Jacques M.B. Terken

doi:10.1145/3409120.3410642

Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians

Debargha (Dave) Dey
, Kai Holländer
, Melanie Berger
, J.H. (Berry) Eggen
, Marieke H. Martens
, B. Pfleging
, Jacques M.B. Terken

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

53 Citations (Scopus)

707 Downloads (Pure)

Abstract

External human-machine interfaces (eHMIs) support automated vehicles (AVs) in interacting with vulnerable road users such as pedestrians. While related work investigated various eHMIs concepts, these concepts communicate their message in one go at a single point in time. There are no empirical insights yet whether distance-dependent multi-step information that provides additional context as the vehicle approaches a pedestrian can increase the user experience. We conducted a video-based study (N=24) with an eHMI concept that offers pedestrians information about the vehicle’s intent without providing any further context information, and compared it with two novel eHMI concepts that provide additional information when approaching the pedestrian. Results show that additional distance-based information on eHMIs for yielding vehicles enhances pedestrians’ comprehension of the vehicle’s intention and increases their willingness to cross. This insight posits the importance of distance-dependent information in the development of eHMIs to enhance the usability, acceptance, and safety of AVs

Original language	English
Title of host publication	12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '20)
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc.
Pages	192-204
Number of pages	13
ISBN (Electronic)	9781450380652
ISBN (Print)	978-1-4503-8065-2
DOIs	https://doi.org/10.1145/3409120.3410642
Publication status	Published - 21 Sept 2020
Event	12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2020) - Virtual Duration: 21 Sept 2020 → 22 Sept 2020 Conference number: 12 https://www.auto-ui.org/20/

Conference

Conference	12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2020)
Abbreviated title	AutomotiveUI 2020
Period	21/09/20 → 22/09/20
Internet address	https://www.auto-ui.org/20/

Funding

This research is supported by the Dutch Domain Applied and Engineering Sciences, which is part of the Netherlands Organization for Scientific Research (NWO), and which is partly funded by the Ministry of Economic Affairs (project number 14896).

Funders	Funder number
Ministerie van Economische Zaken en Klimaat	14896
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Keywords

Automated vehicles
VRU
eHMIs
pedestrians
vehicle-pedestrian interaction

Access to Document

10.1145/3409120.3410642

automotiveui20-6Final published version, 2.46 MB

Cite this

Dey, D., Holländer, K., Berger, M., Eggen, J. H., Martens, M. H., Pfleging, B., & Terken, J. M. B. (2020). Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '20) (pp. 192-204). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3409120.3410642

@inproceedings{fbfca601c7204af2bf576d4faab96ccb,

title = "Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians",

abstract = "External human-machine interfaces (eHMIs) support automated vehicles (AVs) in interacting with vulnerable road users such as pedestrians. While related work investigated various eHMIs concepts, these concepts communicate their message in one go at a single point in time. There are no empirical insights yet whether distance-dependent multi-step information that provides additional context as the vehicle approaches a pedestrian can increase the user experience. We conducted a video-based study (N=24) with an eHMI concept that offers pedestrians information about the vehicle{\textquoteright}s intent without providing any further context information, and compared it with two novel eHMI concepts that provide additional information when approaching the pedestrian. Results show that additional distance-based information on eHMIs for yielding vehicles enhances pedestrians{\textquoteright} comprehension of the vehicle{\textquoteright}s intention and increases their willingness to cross. This insight posits the importance of distance-dependent information in the development of eHMIs to enhance the usability, acceptance, and safety of AVs",

keywords = "Automated vehicles, VRU, eHMIs, pedestrians, vehicle-pedestrian interaction",

author = "Dey, \{Debargha (Dave)\} and Kai Holl{\"a}nder and Melanie Berger and Eggen, \{J.H. (Berry)\} and Martens, \{Marieke H.\} and B. Pfleging and Terken, \{Jacques M.B.\}",

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month = sep,

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note = "12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2020), AutomotiveUI 2020 ; Conference date: 21-09-2020 Through 22-09-2020",

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}

Dey, D, Holländer, K, Berger, M, Eggen, JH , Martens, MH, Pfleging, B & Terken, JMB 2020, Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians. in 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '20). Association for Computing Machinery, Inc., New York, pp. 192-204, 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2020), 21/09/20. https://doi.org/10.1145/3409120.3410642

Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians. / Dey, Debargha (Dave); Holländer, Kai; Berger, Melanie et al.
12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '20). New York: Association for Computing Machinery, Inc., 2020. p. 192-204.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians

AU - Dey, Debargha (Dave)

AU - Holländer, Kai

AU - Berger, Melanie

AU - Eggen, J.H. (Berry)

AU - Martens, Marieke H.

AU - Pfleging, B.

AU - Terken, Jacques M.B.

N1 - Conference code: 12

PY - 2020/9/21

Y1 - 2020/9/21

N2 - External human-machine interfaces (eHMIs) support automated vehicles (AVs) in interacting with vulnerable road users such as pedestrians. While related work investigated various eHMIs concepts, these concepts communicate their message in one go at a single point in time. There are no empirical insights yet whether distance-dependent multi-step information that provides additional context as the vehicle approaches a pedestrian can increase the user experience. We conducted a video-based study (N=24) with an eHMI concept that offers pedestrians information about the vehicle’s intent without providing any further context information, and compared it with two novel eHMI concepts that provide additional information when approaching the pedestrian. Results show that additional distance-based information on eHMIs for yielding vehicles enhances pedestrians’ comprehension of the vehicle’s intention and increases their willingness to cross. This insight posits the importance of distance-dependent information in the development of eHMIs to enhance the usability, acceptance, and safety of AVs

AB - External human-machine interfaces (eHMIs) support automated vehicles (AVs) in interacting with vulnerable road users such as pedestrians. While related work investigated various eHMIs concepts, these concepts communicate their message in one go at a single point in time. There are no empirical insights yet whether distance-dependent multi-step information that provides additional context as the vehicle approaches a pedestrian can increase the user experience. We conducted a video-based study (N=24) with an eHMI concept that offers pedestrians information about the vehicle’s intent without providing any further context information, and compared it with two novel eHMI concepts that provide additional information when approaching the pedestrian. Results show that additional distance-based information on eHMIs for yielding vehicles enhances pedestrians’ comprehension of the vehicle’s intention and increases their willingness to cross. This insight posits the importance of distance-dependent information in the development of eHMIs to enhance the usability, acceptance, and safety of AVs

KW - Automated vehicles

KW - VRU

KW - eHMIs

KW - pedestrians

KW - vehicle-pedestrian interaction

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U2 - 10.1145/3409120.3410642

DO - 10.1145/3409120.3410642

M3 - Conference contribution

SN - 978-1-4503-8065-2

SP - 192

EP - 204

BT - 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '20)

PB - Association for Computing Machinery, Inc.

CY - New York

T2 - 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2020)

Y2 - 21 September 2020 through 22 September 2020

ER -

Dey D, Holländer K, Berger M, Eggen JH , Martens MH, Pfleging B et al. Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '20). New York: Association for Computing Machinery, Inc. 2020. p. 192-204 doi: 10.1145/3409120.3410642

Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

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AutomotiveUI '20 Honorable Mention Award

Cite this

Distance-Dependent eHMIs for the Interaction Between Automated Vehicles and Pedestrians

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Prizes

AutomotiveUI '20 Honorable Mention Award

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