Application field
Psychotherapy, Neuroscience
Technology
eXtended Reality (XR), Brain Computer Interface (BCI), Machine Learning
Goals
- Identifying typical EEG features for acrophobia;
- Prototyping a flexible rehabilitation device with a high level of customization that can monitor the variation in phobic intensity experienced by the subject;
- Automatic modulation of the stimulating context.
Activities
- Identification of standardized metrics for assessing the severity of acrophobia;
- Creation of an experimental apparatus for stimulation with variable intensity levels based on specified psychometric scales;
- EEG measurement during exposure to stimuli in virtual reality;
- Identification of EEG features related to variation of the level of phobic intensity experienced by the subject;
- Realization of an adaptive prototype able to modulate the phobic stimulus in response to the phobic intensity experienced by the subject;
- Identification of a therapeutic protocol capable of automatically adapting the stimulus to the subject’s response measured on the EEG basis;
- Experimental validation.
Challenges
- Exploring neurocorrelates related to specific phobias
- Create a real-time adaptive stimulation context
Partnership
- Graz University of Technology
- IDEGO srl
Bibliography
- Apicella, S. Barbato, L.A. Barradas Chacon, G. D’Errico, L.T. De Paolis, L. Maffei, P. Massaro, G. Mastrati, N. Moccaldi, A. Pollastro, S.C. Wriessenegger. EEG Correlates of Fear of Heights in a VR Environment. Acta Imeko, 2023 [submitted]
