User Interfaces for Cyclists in Future Automated Traffic

User Interfaces for Cyclists in Future Automated Traffic

Berge, S.H. (TU Delft Transport and Planning)
de Winter, J.C.F. (TU Delft Human-Robot Interaction)
Hagenzieker, Marjan (TU Delft Transport and Planning)

2023

In future traffic, intelligent user interfaces may aid cyclists in interpreting the behaviour of automated vehicles. Cyclists can be equipped with obstacle-detecting sensors, and an interface could display relevant information or use audible alerts to warn or inform cyclists of other road users' intent and potential hazards. Researching intelligent user interfaces for cyclists is vital for understanding how users can efficiently and safely interact with automated vehicles. This work-in-progress paper presents two studies for developing and testing user interfaces for cyclists in future automated traffic. In the first study, we reanalysed interview data from 30 cyclists, resulting in two interface concepts: the app CycleSafe and an omnidirectional on-vehicle interface capable of communicating cyclist recognition. In the second study, we outline an envisioned experiment to test these two concepts in a naturalistic environment with cyclists and a vehicle emulating automation. We hypothesise that cyclists prefer receiving warning signals over no warnings, prefer early over late warnings, and that auditory signals and visual on-vehicle interfaces will perform better than visual on-bike interfaces.

AV
cyclist
Human-machine interface
smart bicycles

http://resolver.tudelft.nl/uuid:0a9f985c-fde8-4913-8cd1-318160bd1de0

https://doi.org/10.1145/3581754.3584140

Association for Computing Machinery (ACM)

979-8-4007-0107-8

IUI '23 Companion: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces

28th International Conference on Intelligent User Interfaces, IUI 2023, 2023-03-27 → 2023-03-31, Sydney, Australia

Institutional Repository

conference paper

© 2023 S.H. Berge, J.C.F. de Winter, Marjan Hagenzieker