Cognition, Data and Education (CoDE): VR Projects

CoDE is looking to pursue comprehensive explanatory and actionable theoretical models, that are created by crossing boundaries between previously split theoretical sub-disciplines (human factors, eduactional measurement, machine learning). These actionable models describe and explain the mental and physical processes of the human who lives, behaves and develops within a system, like a human-machine environment, a learning environment, a health environment. When creating solutions for issues that arise in these human-system environments, we need to have a full grasp of these processes, the context and conditions under which they take place, and how they can be supported and improved.

 

To realize these ambitions, data collection and analyses inherently need to be multi-modal, multi-level and multi-perspective.

CoDE has a long history of expertise in psychometric, educational and experimental measurements. We are experts in human factors research and data-driven ergonomics, covering biomechanical, cognitive and social systems.

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