research-article

Designing Motion: Lessons for Self-driving and Robotic Motion from Human Traffic Interaction

Authors:

Erik VinkhuyzenAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 7, Issue GROUP

Article No.: 5, Pages 1 - 21

https://doi.org/10.1145/3567555

Published: 29 December 2022 Publication History

Abstract

The advent of autonomous cars creates a range of new questions about road safety, as well as a new collaborative domain for CSCW to analyse. This paper uses video data collected from five countries - India, Spain, France, Chile, and the USA - to study how road users interact with each other. We use interactional video analysis to document how co-ordination is achieved in traffic not just through the use of formal rules, but through situated communicative action. Human movement is a rich implicit communication channel and this communication is essential for safe manoeuvring on the road, such as in the co-ordination between pedestrians and drivers. We discuss five basic movements elements: gaps, speed, position, indicating and stopping. Together these elements can be combined to make and accept offers, show urgency, make requests and display preferences. We build on these results to explore lessons for how we can design the implicit motion of self-driving cars so that these motions are understandable - in traffic - by other road users. In discussion, we explore the lessons from this for designing the movement of robotic systems more broadly.

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Cited By

Schmitt PJoshi SWalker BHabibovic A(2024)Symbiotic - A Workshop on Transferability between Human-Robot Interaction (HRI) and Autonomous Vehicle Interaction ResearchAdjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3641308.3677396(273-276)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3641308.3677396
Passero SPelikan HBroth MBrown B(2024)Honkable Gestalts: Why Autonomous Vehicles Get Honked AtProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675732(317-328)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3640792.3675732
Siebinga OZgonnikov AAbbink D(2024)A model of dyadic merging interactions explains human drivers’ behavior from control inputs to decisionsPNAS Nexus10.1093/pnasnexus/pgae4203:10Online publication date: 24-Sep-2024
https://doi.org/10.1093/pnasnexus/pgae420
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Index Terms

Designing Motion: Lessons for Self-driving and Robotic Motion from Human Traffic Interaction
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing
  2. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 7, Issue GROUP

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January 2023

414 pages

EISSN:2573-0142

DOI:10.1145/3578937

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Published: 29 December 2022

Published in PACMHCI Volume 7, Issue GROUP

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Cited By

Schmitt PJoshi SWalker BHabibovic A(2024)Symbiotic - A Workshop on Transferability between Human-Robot Interaction (HRI) and Autonomous Vehicle Interaction ResearchAdjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3641308.3677396(273-276)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3641308.3677396
Passero SPelikan HBroth MBrown B(2024)Honkable Gestalts: Why Autonomous Vehicles Get Honked AtProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675732(317-328)Online publication date: 22-Sep-2024
https://dl.acm.org/doi/10.1145/3640792.3675732
Siebinga OZgonnikov AAbbink D(2024)A model of dyadic merging interactions explains human drivers’ behavior from control inputs to decisionsPNAS Nexus10.1093/pnasnexus/pgae4203:10Online publication date: 24-Sep-2024
https://doi.org/10.1093/pnasnexus/pgae420
Vainio TLiimatainen H(2023)AVs in HCI EducationProceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter10.1145/3605390.3610833(1-4)Online publication date: 20-Sep-2023
https://dl.acm.org/doi/10.1145/3605390.3610833
Kumaran SOberlender AGrishko AMegidish BErel H(2023)To Cross or Not-to-Cross: A Robotic Object for Mediating Interactions Between Autonomous Vehicles and Pedestrians2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN57019.2023.10309309(285-292)Online publication date: 28-Aug-2023
https://doi.org/10.1109/RO-MAN57019.2023.10309309
Hazarika AVyas ARahmati MWang Y(2023)Multi-Camera 3D Object Detection for Autonomous Driving Using Deep Learning and Self-Attention MechanismIEEE Access10.1109/ACCESS.2023.328811211(64608-64620)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3288112

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