AHFE Open AccessInvestigation of the Riding Performance for an Isometric Steering System with Two Platform Concepts
Abstract
In this paper, we used an isometric steering system on a motorcycle riding simulator. The investigation was done for a static and dynamic platform with an already known Motion Cueing Algorithm (MCA) from the literature. The aim was to determine whether the Standard Deviation of Lateral Position (SDLP) is suitable for evaluating ride quality. For this purpose, we implemented the already investigated MCA and compare whether the algorithm has a positive effect on the SDLP. When the MCA was used, the SDLP were reduced, but the mental workload and rider state remained the same. In addition, we used exploratory adjective pairs as a semantic differential. These also showed a positive tendency when using a dynamic platform with this MCA. This study thus showed that the SDLP is suitable as an objective criterion of riding quality in motorcycle riding simulation.
Keywords: Riding Simulation, Steering, Steering behavioral, Engineering, Motion Cueing
DOI: 10.54941/ahfe1002192
Cite this paper
More from this volume
- Decision-making in disaster operations - Intuition vs Intelligent System support
- Exploring trust in unmanned systems with the Maritime Unmanned System Trust Game
- Education as a maritime safety improvement factor
- Ontologies for emergency management
- High Reliability Organizing, Resiliency and Safety Culture
- Envisioning 21st Century Mixed-Initiative Operations for Energy Systems
- RehbBrain: A serious gaming platform for perceptual and cognitive rehabilitation
- Lower limb exoskeletons some examples of application
- Ergonomic Assessment of Warehouse Activities in an Electric Utilities Company
- Formative Evaluation of Virtual Reality Materials for Inducing Cultural Awareness
- Leveraging the Kinect Sensor to Correct Improper Bowling Form
- Psychophysics and user experience: Perceptual differences in the effort required to operate virtual push-buttons