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oczko2019haptic


Marie-Christin H. Oczko, "How to Apply Haptic Signals on Bicycles for Safety," Bachelor Thesis, Department of Computer Science, Paderborn University (UPB), August 2019. (Advisors: Falko Dressler and Ingrid Scharlau)

Abstract

Safety for vulnerable road users, like cyclists, is still a major challenge. While the number and quality of assistance systems for cars is increasing day by day, the amount of research on bicycle safety is significantly lower. To improve cyclists' safety, I developed a haptic collision warning system for cyclists based on Inter-Vehicle Communications (IVC). Integrating two vibration motors on the bicycle's handles to convey directional information, the cyclist’s attention is directed towards hazards approaching from the corresponding direction to avoid potentially fatal accidents. To gain first insight into the usefulness of the haptic signals, I carry out a psychological study in a simulation environment. I extend the Virtual Cycling Environment (VCE) to design a safe environment for a laboratory experiment without compromising the participant's safety. Instructive simulation scenarios are created and a supportive questionnaire is designed. The results show that the majority of the participants of the experiment react faster to possible dangers with supportive haptic signals. In real life, this might help to prevent traffic accidents involving cyclists.

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Marie-Christin H. Oczko

BibTeX reference

@phdthesis{oczko2019haptic,
    author = {Oczko, Marie-Christin H.},
    doi = {10.17619/UNIPB/1-878},
    title = {{How to Apply Haptic Signals on Bicycles for Safety}},
    advisor = {Dressler, Falko and Scharlau, Ingrid},
    institution = {Department of Computer Science},
    location = {Paderborn, Germany},
    month = {8},
    school = {Paderborn University (UPB)},
    type = {Bachelor Thesis},
    year = {2019},
   }
   
   

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