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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Keep it Real: Investigating Driver-Cyclist Interaction in Real-World Traffic. / Al-Taie, Ammar; Abdrabou, Yasmeen; Macdonald, Shaun Alexander et al.
CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2023. p. 1-15 769 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Al-Taie, A, Abdrabou, Y, Macdonald, SA, Pollick, F & Brewster, SA 2023, Keep it Real: Investigating Driver-Cyclist Interaction in Real-World Traffic. in CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems., 769, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery (ACM), pp. 1-15, CHI '23:, Hamburg, Germany, 23/04/23. https://doi.org/10.1145/3544548.3581049

APA

Al-Taie, A., Abdrabou, Y., Macdonald, S. A., Pollick, F., & Brewster, S. A. (2023). Keep it Real: Investigating Driver-Cyclist Interaction in Real-World Traffic. In CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-15). Article 769 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery (ACM). https://doi.org/10.1145/3544548.3581049

Vancouver

Al-Taie A, Abdrabou Y, Macdonald SA, Pollick F, Brewster SA. Keep it Real: Investigating Driver-Cyclist Interaction in Real-World Traffic. In CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM). 2023. p. 1-15. 769. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3544548.3581049

Author

Al-Taie, Ammar ; Abdrabou, Yasmeen ; Macdonald, Shaun Alexander et al. / Keep it Real: Investigating Driver-Cyclist Interaction in Real-World Traffic. CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2023. pp. 1-15 (Conference on Human Factors in Computing Systems - Proceedings).

Bibtex

@inproceedings{ab6a6fc095e1439e82920843caddc15e,
title = "Keep it Real: Investigating Driver-Cyclist Interaction in Real-World Traffic",
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.",
keywords = "Autonomous Vehicle-Cyclist Interaction, Cyclists, Eye-Tracking, Field Study, Naturalistic Study, Observations, Vulnerable Road Users",
author = "Ammar Al-Taie and Yasmeen Abdrabou and Macdonald, {Shaun Alexander} and Frank Pollick and Brewster, {Stephen Anthony}",
year = "2023",
month = apr,
day = "19",
doi = "10.1145/3544548.3581049",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery (ACM)",
pages = "1--15",
booktitle = "CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems",
note = "CHI '23: : CHI Conference on Human Factors in Computing Systems ; Conference date: 23-04-2023 Through 28-04-2023",

}

RIS

TY - GEN

T1 - Keep it Real: Investigating Driver-Cyclist Interaction in Real-World Traffic

AU - Al-Taie, Ammar

AU - Abdrabou, Yasmeen

AU - Macdonald, Shaun Alexander

AU - Pollick, Frank

AU - Brewster, Stephen Anthony

PY - 2023/4/19

Y1 - 2023/4/19

N2 - 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.

AB - 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.

KW - Autonomous Vehicle-Cyclist Interaction

KW - Cyclists

KW - Eye-Tracking

KW - Field Study

KW - Naturalistic Study

KW - Observations

KW - Vulnerable Road Users

U2 - 10.1145/3544548.3581049

DO - 10.1145/3544548.3581049

M3 - Conference contribution/Paper

T3 - Conference on Human Factors in Computing Systems - Proceedings

SP - 1

EP - 15

BT - CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery (ACM)

T2 - CHI '23:

Y2 - 23 April 2023 through 28 April 2023

ER -