Brains, bytes, and bikes.
For my PhD project I am working on a virtual reality training-game for the Dutch police. The goal is to train police officers to make optimal decisions in highly stressful situations. The game will involve biofeedback and my role is to identify and integrate biofeedback parameters that facilitate improved decision making under stress. Futher, I will help informing the game development and eventually test the efficacy of the game.
I have a background in biological Psychology (BSc from Maastricht University) and Cognitive Neuroscience (research-MSc from Maastricht University) and I am generally interested in how electroencephalographic (especially oscillatory) activity gives rise to cognitive and behavioral phenomena. Throughout my studies I worked with electroencephalography and started by investigating how the recognition of personally salient information can be detected by means of time-locked cortical potentials. Subsequently, during a research internship at the German Sports University Cologne I studied the role of oscillatory cortical activity in the temporal resolution of visual perception.
Fast and accurate decision making in threatening situations is vital for police officers on duty. However, under threat, people tend to react impulsively and lack cognitive control. This is why police officers need to train control over their responses to threat as much as possible. To enable this, we develop a virtual training environment with real-time biofeedback. We combine virtual reality and biofeedback to create a personalized, realistic training experience, while honing state-of-the-art technology and psychophysical theory.
Affective computing systems provide our machines access to our emotions. This might sound unsettling at first, but I argue that we can use affective computing in biofeedback games to gain insights about our emotions that would be hard to come by otherwise.