Master Thesis MSTR-2017-15

BibliographyBoldt, Robin: Vibrotactile motorcycle navigation.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 15 (2017).
69 pages, english.

Navigation devices for cars are ubiquitous and become increasingly popular for motor-cyclists as well. The motorcycle navigation devices were optimized for motorcyclists regarding their range of functions, but the interaction with these navigation devices are not optimized for motorcyclists. In this thesis, we explore vibrotactile feedback for motorcycle navigation. We evaluated the vibration that is generated by the motorcycle with different motorcycles and riders, and found that the best location for providing vibrotactile feedback is the waist. We designed a prototype that is integrated into a kidney belt. We evaluated its usability in a real world driving study, comparing the vibrotactile approach to a visual approach. We found that the vibrotactile system outperforms the visual system in terms of errors made, as well as occurring distraction while driving.

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Department(s)University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems
Superviser(s)Schmidt, Prof. Albrecht; Schneegaß, Dr. Stefan; Kiss, Francisco E.
Entry dateMay 28, 2019
   Publ. Computer Science