Development and Evaluation of Advanced Cyclist Assistance Systems on a Bicycle Simulator

Yu Wang (Autor:in und Vortragende:r), Sonja Dorfbauer, Linda van der Spaa, Alexander Mirnig, Florian Michahelles, Philipp Wintersberger

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

Research on cycling safety has recently gained the attention of the HCI community. While there have been multiple proposals for automated driving features on bikes, we are unaware of a project that systematically aims to translate and evaluate driver assistance systems from the automotive to the bike domain to promote cycling safety in traffic. Thus, we implemented an adaptive cruise control and a lane-keeping/centering system with hard- and software on a motion-based bicycle simulator and investigated their potential in a virtual reality experiment. Based on performance measurements and subjective ratings, results showed significant improvements in technology acceptance, subjective workload, and driving performance regarding the cruise control. In contrast, the lane-centering and lane-keeping features were rated significantly worse than the baseline without such assistance. The paper concludes with a critical reflection on automated driving features for bicycles.
OriginalspracheEnglisch
TitelAutomotiveUI '24: Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Seiten283-293
DOIs
PublikationsstatusVeröffentlicht - 22 Sept. 2024
Veranstaltung16th International ACM Conference on Automotive User Interfaces
and Interactive Vehicular Applications (AutomotiveUI 2024)
- Stanford, USA/Vereinigte Staaten
Dauer: 22 Sept. 202425 Sept. 2024
Konferenznummer: ´16
https://www.auto-ui.org/24/

Publikationsreihe

NameAutomotiveUI '24
Herausgeber (Verlag)Association for Computing Machinery

Konferenz

Konferenz16th International ACM Conference on Automotive User Interfaces
and Interactive Vehicular Applications (AutomotiveUI 2024)
KurztitelAutomotiveUI 24
Land/GebietUSA/Vereinigte Staaten
StadtStanford
Zeitraum22/09/2425/09/24
Internetadresse

Research Field

  • Human-centered Automation and Assistance

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