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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

29 Citaten (Scopus)

2 Downloads (Pure)

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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.

Originele taal-2	Engels
Titel	Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Plaats van productie	New York, NY, USA
Uitgeverij	Association for Computing Machinery, Inc.
Aantal pagina's	6
ISBN van elektronische versie	978-1-4503-5971-9
DOI's	https://doi.org/10.1145/3290607.3312880
Status	Gepubliceerd - 2 mei 2019
Evenement	Annual ACM Conference on Human Factors in Computing Systems (CHI '19) - Scottish Event Campus, Glasgow, Verenigd Koninkrijk Duur: 4 mei 2019 → 9 mei 2019 Congresnummer: 37 https://chi2019.acm.org

Congres

Congres	Annual ACM Conference on Human Factors in Computing Systems (CHI '19)
Verkorte titel	CHI 2019
Land/Regio	Verenigd Koninkrijk
Stad	Glasgow
Periode	4/05/19 → 9/05/19
Internet adres	https://chi2019.acm.org

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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 Artikel LBW0242 Association for Computing Machinery, Inc.. https://doi.org/10.1145/3290607.3312880

@inproceedings{20ca7d395f6b4e25aa67af0205b8d427,

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.",

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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",

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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., LBW0242, Association for Computing Machinery, Inc., New York, NY, USA, Annual ACM Conference on Human Factors in Computing Systems (CHI '19), Glasgow, Verenigd Koninkrijk, 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.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Pfleging, Bastian

AU - Eggen, Berry

AU - Terken, Jacques

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

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