Feeling-of-safety slider: measuring pedestrian willingness to cross roads in field interactions with vehicles

Francesco Walker; Debargha Dey; Marieke Martens; Bastian Pfleging; Berry Eggen; Jacques Terken

doi:10.1145/3290607.3312880

Feeling-of-safety slider: measuring pedestrian willingness to cross roads in field interactions with vehicles

Francesco Walker
, Debargha Dey
, Marieke Martens
, Bastian Pfleging
, Berry Eggen
, Jacques Terken

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

27 Citations (Scopus)

2 Downloads (Pure)

Abstract

Can interactions between automated vehicles and pedestrians be evaluated in a quantifiable and standardized way? In order to answer this, we designed an input device in the form of a continuous slider that enables pedestrians to indicate their willingness to cross a road and their feeling of safety in real time in response to an approaching vehicle. In an initial field study, 71% of the participants reported that they were able to use the device naturally and indicate their feeling of safety satisfactorily. The feeling-of-safety slider can consequently be used to evaluate and benchmark interactions between pedestrians and vehicles, and compare communication interfaces for automated vehicles.

Original language	English
Title of host publication	Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery, Inc.
Number of pages	6
ISBN (Electronic)	978-1-4503-5971-9
DOIs	https://doi.org/10.1145/3290607.3312880
Publication status	Published - 2 May 2019
Event	37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019 - Scottish Event Campus, Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 Conference number: 37 https://chi2019.acm.org

Conference

Conference	37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019
Abbreviated title	CHI 2019
Country/Territory	United Kingdom
City	Glasgow
Period	4/05/19 → 9/05/19
Internet address	https://chi2019.acm.org

Keywords

Automated Vehicles
Autonomous Vehicles
Interaction
Methodology
Pedestrian
Vehicle
Vulnerable Road Users

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10.1145/3290607.3312880

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Walker, F., Dey, D., Martens, M., Pfleging, B., Eggen, B., & Terken, J. (2019). Feeling-of-safety slider: measuring pedestrian willingness to cross roads in field interactions with vehicles. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems Article LBW0242 Association for Computing Machinery, Inc.. https://doi.org/10.1145/3290607.3312880

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title = "Feeling-of-safety slider: measuring pedestrian willingness to cross roads in field interactions with vehicles",

abstract = "Can interactions between automated vehicles and pedestrians be evaluated in a quantifiable and standardized way? In order to answer this, we designed an input device in the form of a continuous slider that enables pedestrians to indicate their willingness to cross a road and their feeling of safety in real time in response to an approaching vehicle. In an initial field study, 71\% of the participants reported that they were able to use the device naturally and indicate their feeling of safety satisfactorily. The feeling-of-safety slider can consequently be used to evaluate and benchmark interactions between pedestrians and vehicles, and compare communication interfaces for automated vehicles.",

keywords = "Automated Vehicles, Autonomous Vehicles, Interaction, Methodology, Pedestrian, Vehicle, Vulnerable Road Users",

author = "Francesco Walker and Debargha Dey and Marieke Martens and Bastian Pfleging and Berry Eggen and Jacques Terken",

year = "2019",

month = may,

day = "2",

doi = "10.1145/3290607.3312880",

language = "English",

booktitle = "Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery, Inc.",

address = "United States",

note = "37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019, CHI 2019 ; Conference date: 04-05-2019 Through 09-05-2019",

url = "https://chi2019.acm.org",

}

Walker, F, Dey, D , Martens, M, Pfleging, B, Eggen, B & Terken, J 2019, Feeling-of-safety slider: measuring pedestrian willingness to cross roads in field interactions with vehicles. in Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems., LBW0242, Association for Computing Machinery, Inc., New York, NY, USA, 37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290607.3312880

Feeling-of-safety slider: measuring pedestrian willingness to cross roads in field interactions with vehicles. / Walker, Francesco; Dey, Debargha ; Martens, Marieke et al.
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. New York, NY, USA: Association for Computing Machinery, Inc., 2019. LBW0242.

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

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T1 - Feeling-of-safety slider

T2 - 37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019

AU - Walker, Francesco

AU - Dey, Debargha

AU - Martens, Marieke

AU - Pfleging, Bastian

AU - Eggen, Berry

AU - Terken, Jacques

N1 - Conference code: 37

PY - 2019/5/2

Y1 - 2019/5/2

N2 - Can interactions between automated vehicles and pedestrians be evaluated in a quantifiable and standardized way? In order to answer this, we designed an input device in the form of a continuous slider that enables pedestrians to indicate their willingness to cross a road and their feeling of safety in real time in response to an approaching vehicle. In an initial field study, 71% of the participants reported that they were able to use the device naturally and indicate their feeling of safety satisfactorily. The feeling-of-safety slider can consequently be used to evaluate and benchmark interactions between pedestrians and vehicles, and compare communication interfaces for automated vehicles.

AB - Can interactions between automated vehicles and pedestrians be evaluated in a quantifiable and standardized way? In order to answer this, we designed an input device in the form of a continuous slider that enables pedestrians to indicate their willingness to cross a road and their feeling of safety in real time in response to an approaching vehicle. In an initial field study, 71% of the participants reported that they were able to use the device naturally and indicate their feeling of safety satisfactorily. The feeling-of-safety slider can consequently be used to evaluate and benchmark interactions between pedestrians and vehicles, and compare communication interfaces for automated vehicles.

KW - Automated Vehicles

KW - Autonomous Vehicles

KW - Interaction

KW - Methodology

KW - Pedestrian

KW - Vehicle

KW - Vulnerable Road Users

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M3 - Conference contribution

BT - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery, Inc.

CY - New York, NY, USA

Y2 - 4 May 2019 through 9 May 2019

ER -

Feeling-of-safety slider: measuring pedestrian willingness to cross roads in field interactions with vehicles

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Keywords

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