Pedestrian Decision-Making Responses to External Human-Machine Interface Designs for Autonomous Vehicles

Christopher G. Burns; Luis Oliveira; Peter Thomas; Sumeet Iyer; Stewart Birrell

doi:10.1109/IVS.2019.8814030

Pedestrian Decision-Making Responses to External Human-Machine Interface Designs for Autonomous Vehicles

Christopher G. Burns, Luis Oliveira, Peter Thomas, Sumeet Iyer, Stewart Birrell

University of Warwick

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

36 Citations (Scopus)

Abstract

As part of a large UK-funded autonomous vehicle project (UK Autodrive), we examined pedestrian attitudes and road-crossing intentions using a real autonomous vehicle (AV) in an indoor arena. Two conceptual external human-machine interfaces (HMIs) were presented to display the vehicle’s manoeuvring intentions. Participants experienced a simulated road-crossing task to assess their interactions with the AV. Although neither HMI concept was entirely free of criticism, there were objective performance differences for a projection-based HMI concept, as well as critical subjective opinions in pedestrian responses to specific manoeuvring contexts. These provided insight into pedestrians’ safety concerns towards a vehicle where bi-directional communication with a driver is no longer possible, with suggestions for future vehicle HMI concepts.

Original language	English
Title of host publication	2019 IEEE Intelligent Vehicles Symposium, IV 2019
Publisher	IEEE
Pages	70-75
Number of pages	6
ISBN (Electronic)	978-1-7281-0560-4
DOIs	https://doi.org/10.1109/IVS.2019.8814030
Publication status	Published - 29 Aug 2019
Externally published	Yes
Event	2019 IEEE Intelligent Vehicles Symposium - Paris, France Duration: 9 Jun 2019 → 12 Jun 2019 Conference number: 30 https://iv2019.org/program/

Publication series

Name
ISSN (Electronic)	2642-7214

Conference

Conference	2019 IEEE Intelligent Vehicles Symposium
Abbreviated title	IV’19
Country/Territory	France
City	Paris
Period	9/06/19 → 12/06/19
Internet address	https://iv2019.org/program/

ASJC Scopus subject areas

Computer Science Applications
Automotive Engineering
Modelling and Simulation

Access to Document

10.1109/IVS.2019.8814030

Cite this

@inproceedings{30c941c281ff484d9c335ec04f585b85,

title = "Pedestrian Decision-Making Responses to External Human-Machine Interface Designs for Autonomous Vehicles",

abstract = "As part of a large UK-funded autonomous vehicle project (UK Autodrive), we examined pedestrian attitudes and road-crossing intentions using a real autonomous vehicle (AV) in an indoor arena. Two conceptual external human-machine interfaces (HMIs) were presented to display the vehicle{\textquoteright}s manoeuvring intentions. Participants experienced a simulated road-crossing task to assess their interactions with the AV. Although neither HMI concept was entirely free of criticism, there were objective performance differences for a projection-based HMI concept, as well as critical subjective opinions in pedestrian responses to specific manoeuvring contexts. These provided insight into pedestrians{\textquoteright} safety concerns towards a vehicle where bi-directional communication with a driver is no longer possible, with suggestions for future vehicle HMI concepts.",

author = "Burns, {Christopher G.} and Luis Oliveira and Peter Thomas and Sumeet Iyer and Stewart Birrell",

year = "2019",

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doi = "10.1109/IVS.2019.8814030",

language = "English",

publisher = "IEEE",

pages = "70--75",

booktitle = "2019 IEEE Intelligent Vehicles Symposium, IV 2019",

address = "United States",

note = "2019 IEEE Intelligent Vehicles Symposium, IV{\textquoteright}19 ; Conference date: 09-06-2019 Through 12-06-2019",

url = "https://iv2019.org/program/",

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TY - GEN

T1 - Pedestrian Decision-Making Responses to External Human-Machine Interface Designs for Autonomous Vehicles

AU - Burns, Christopher G.

AU - Oliveira, Luis

AU - Thomas, Peter

AU - Iyer, Sumeet

AU - Birrell, Stewart

N1 - Conference code: 30

PY - 2019/8/29

Y1 - 2019/8/29

N2 - As part of a large UK-funded autonomous vehicle project (UK Autodrive), we examined pedestrian attitudes and road-crossing intentions using a real autonomous vehicle (AV) in an indoor arena. Two conceptual external human-machine interfaces (HMIs) were presented to display the vehicle’s manoeuvring intentions. Participants experienced a simulated road-crossing task to assess their interactions with the AV. Although neither HMI concept was entirely free of criticism, there were objective performance differences for a projection-based HMI concept, as well as critical subjective opinions in pedestrian responses to specific manoeuvring contexts. These provided insight into pedestrians’ safety concerns towards a vehicle where bi-directional communication with a driver is no longer possible, with suggestions for future vehicle HMI concepts.

AB - As part of a large UK-funded autonomous vehicle project (UK Autodrive), we examined pedestrian attitudes and road-crossing intentions using a real autonomous vehicle (AV) in an indoor arena. Two conceptual external human-machine interfaces (HMIs) were presented to display the vehicle’s manoeuvring intentions. Participants experienced a simulated road-crossing task to assess their interactions with the AV. Although neither HMI concept was entirely free of criticism, there were objective performance differences for a projection-based HMI concept, as well as critical subjective opinions in pedestrian responses to specific manoeuvring contexts. These provided insight into pedestrians’ safety concerns towards a vehicle where bi-directional communication with a driver is no longer possible, with suggestions for future vehicle HMI concepts.

UR - http://www.mendeley.com/research/pedestrian-decisionmaking-responses-external-humanmachine-interface-designs-autonomous-vehicles

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U2 - 10.1109/IVS.2019.8814030

DO - 10.1109/IVS.2019.8814030

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BT - 2019 IEEE Intelligent Vehicles Symposium, IV 2019

PB - IEEE

T2 - 2019 IEEE Intelligent Vehicles Symposium

Y2 - 9 June 2019 through 12 June 2019

ER -

Pedestrian Decision-Making Responses to External Human-Machine Interface Designs for Autonomous Vehicles

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

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