The evaluation of a bicycle simulator

Kurzfassung

Bicycle simulators are safer to create many scenarios that would be difficult to be implemented in the real environment. The present study evaluates the reliability of a mobile based bicycle simulator that is built on motion platform to validate the model for future human-machine interaction experiments. The motion cues and the bicycle dynamics parameters were manipulated to form two driving profile. The driving task has also changed during the experiment. Motion sickness symptoms, subjective workload questionnaire, eye movements, and pupil dilation were recorded to compare how the workload change for the different driving profiles and driving tasks of the study. The present study revealed that one driving profile led to more motion sickness than the other profile which shows the importance of choosing the right parameters for the right setup of the bicycle simulator. Driving scenarios were rated approximately as optimally demanding without a difference between them. Two pupil dilation parameters, namely low pass filter and standard deviation, showed a difference in one scenario compared to others which could be interpreted as a change in the cognitive workload.