Logo des Repositoriums
 

Supporting Cyclists through Hazard Notification Systems: Insights from the Evaluation of Notification Modalities with a Head-mounted Wearable System

dc.contributor.authorvon Sawitzky, Tamara
dc.contributor.authorGrauschopf, Thomas
dc.contributor.authorRiener, Andreas
dc.date.accessioned2023-08-24T06:24:25Z
dc.date.available2023-08-24T06:24:25Z
dc.date.issued2023
dc.description.abstractBicyclists belong to vulnerable road users (VRUs) and are increasingly involved in accidents. As accidents pose a significant risk to their safety due to the lack of protection from the bike or clothing, there is a need for effective measures to enhance bicyclists’ safety. While road infrastructure improvements can play a role, they are often challenging to implement and costly. In this paper, we propose the use of smart wearables as a solution for providing hazard notifications to cyclists. Specifically, we focus on the application of different systems, including augmented reality (HoloLens) and virtual reality (VR headset, CAVE), and present preliminary results from evaluations conducted on real roads, including closed test tracks. In this workshop, we will present our findings and progress to date in using these technologies to improve cyclist safety. We believe that by usign smart wearables, cyclists are better able to recognize and manage hazardous situations, leading to a reduction in accidents and improved safety outcomes.de
dc.identifier.doi10.18420/muc2023-mci-ws03-469
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/42070
dc.publisherGI
dc.relation.ispartofMensch und Computer 2023 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.titleSupporting Cyclists through Hazard Notification Systems: Insights from the Evaluation of Notification Modalities with a Head-mounted Wearable Systemde
dc.typeText/Workshop Paper
gi.conference.date3.-6. September 2023
gi.conference.locationRapperswil
gi.conference.sessiontitleMCI-WS03: Workshop on Smart Urban Micromobility

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
muc23-mci-ws03-469.pdf
Größe:
1.36 MB
Format:
Adobe Portable Document Format