esc button
search icon

The Human Factor in Motorcycle Safety

Concentration as a Means of Improving Riders’ Safety

Shiran Golan

Mentor — Dr. Michael Sesler
Design Management and Innovation track

A motorcycle rider is 16 times more likely to be involved in a fatal accident than a car driver. 

Research identified concentration as a critical component, an opportunity to develop innovative ideas for improving safety. The study is based on a literature review and a field study which consisted of a questionnaire distributed among 153 two-wheeler riders and nine in-depth interviews. The conceptual development is the product of participatory research, contextual learning and three prototyping workshops, for which an interactive helmet model was built. The model allows users to receive feedback on changes in concentration level in a simulation of motorcycle riding. The model measures concentration using EEG, allowing for a variety of indications in response to changes in its level during a simulated 20-minute ride on a highway. After each round, an interview was conducted and insights were extracted regarding the user experience. Analysis showed that the users preferred tactile indication (weak vibration on the sides of the head) over a combined tactile and auditory indication, perceived as an "error message". In providing an audio indication there was a clear preference for a personalized over a generic (beep) indication. A visual indication combined with vibration was perceived as a new "language", requiring time to learn. Additionally, an area was identified in the helmet allowing visual indication without blocking the view. There is no similar commercial product on the market. Previous studies have focused on the feasibility of measuring signals through electrodes in a helmet and have not dealt with maintaining concentration or characterizing user experience, hence the innovation of the project.

No items found.

Shiran Golan

Director of design and development director of medical devices, BSc in mechanical engineering from Ben-Gurion University. Specializes in processes of specification and definition of needs, and their translation into innovative engineering solutions.

More projects