Stampf, Annika;
Reize, Felix;
Colley, Mark;
Rukzio, Enrico;
(2025)
Beyond the Self-Driven: Understanding User Acceptance of Cooperative Intelligent Transportation Systems in Automated Driving.
In:
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems.
(pp. pp. 1-9).
Association for Computing Machinery
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Abstract
Cooperative Intelligent Transportation Systems (C-ITS) leverage communication between intelligent vehicles and infrastructure (V2X) to address urban challenges, including congestion, delays, and safety, through advanced traffic planning. However, user acceptance—essential for real-world adoption—remains underexplored. Through an online survey (N=49), we investigated how Traffic Scenarios, Personal Outcomes, and Information Levels influence user acceptance. Our findings reveal that rerouting scenarios are perceived more positively than yielding scenarios, such as granting the right of way, while consequential delays increase conflict and frustration. Additionally, users showed similar acceptance ratings for the automated vehicle and the overarching C-ITS with differences emerging under consequential delays. We discuss implications for the design of user-centered C-ITS.
| Type: | Proceedings paper |
|---|---|
| Title: | Beyond the Self-Driven: Understanding User Acceptance of Cooperative Intelligent Transportation Systems in Automated Driving |
| Event: | CHI EA '25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems |
| Location: | Yokohama, Japan |
| Dates: | 26th April - 1st May 2025 |
| ISBN-13: | 979-8-4007-1395-8 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3706599.3720260 |
| Publisher version: | https://doi.org/10.1145/3706599.3720260 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | cooperative intelligent transportation systems, automated vehicles, acceptance, V2X, traffic planning, traffic flow optimization |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10208201 |
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