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 proceedingConference contributionAcademicpeer-review

25 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 languageEnglish
Title of host publicationExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery, Inc
Number of pages6
ISBN (Electronic)978-1-4503-5971-9
DOIs
Publication statusPublished - 2 May 2019
Event37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019 - Scottish Event Campus, Glasgow, United Kingdom
Duration: 4 May 20199 May 2019
Conference number: 37
https://chi2019.acm.org

Conference

Conference37th ACM Annual Conference on Human Factors in Computing Systems, CHI 2019
Abbreviated titleCHI 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/199/05/19
Internet address

Keywords

  • Automated Vehicles
  • Autonomous Vehicles
  • Interaction
  • Methodology
  • Pedestrian
  • Vehicle
  • Vulnerable Road Users

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