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Keep it Real: Investigating Driver-Cyclist Interaction in Real-World Traffic

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Published
  • Ammar Al-Taie
  • Yasmeen Abdrabou
  • Shaun Alexander Macdonald
  • Frank Pollick
  • Stephen Anthony Brewster
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Publication date19/04/2023
Host publicationCHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery (ACM)
Pages1-15
Number of pages15
ISBN (electronic)9781450394215
<mark>Original language</mark>English
EventCHI '23:: CHI Conference on Human Factors in Computing Systems - Hamburg, Germany
Duration: 23/04/202328/04/2023

Conference

ConferenceCHI '23:
Country/TerritoryGermany
CityHamburg
Period23/04/2328/04/23

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

ConferenceCHI '23:
Country/TerritoryGermany
CityHamburg
Period23/04/2328/04/23

Abstract

Cyclists encounter drivers in many traffic scenarios; good communication is key to avoiding collisions. Little is known about everyday driver-cyclist interaction and communication. This is important in designing Automated Vehicles (AVs) that must drive safely around cyclists. We explored driver-cyclist interaction across diverse scenarios through in-the-wild observations (N = 414) and a naturalistic study involving cyclists wearing eye-trackers (N = 12). Results showed cyclists attended to road markings and traffic signs in controlled traffic scenarios but to vehicle sides and windows in uncontrolled encounters. Interactions were unlikely at controlled intersections, but various techniques were used to negotiate right-of-way in uncontrolled scenarios, e.g. cyclists used arm gestures and shoulder checks to communicate their intent and awareness when lane merging. Drivers communicated these through on-vehicle signals and head movements at roundabouts. We discuss the implications of driver-cyclist interaction behaviour on AV interaction design and offer insights into system requirements to support cyclists riding in traffic.