9. Test setup Test conduction Cognitional: blinking, walk, smile, face muscles Sensory: - visual (black and white flickering, colours) - auditory (50 , 150, 1000, 10000 Hz and non continuous) Ten seconds recording Next tests: to involve other sensory channels and try to combine more senses, try to change the electrodes placement for motor imagery
11. Discussion Findings so far Indicate possible user interface through EEG. We have to investigate positioning of sensors even more. In order to find the right peak of energy for a specific stimuli. Alpha values are low, why? Maybe wrong placement of sensors. The test settings can be stressful. Need of a training algorithm.
12. Discussion Attention In what degree do we use it in our project ? Attention Training (AT) Attention State training (AST). Integrative Body-Mind Training (IBMT). Meditation Attention Restoration Theory (Kaplan). Nature exposure to restore attention efficiency. What would be the best method of testing alpha values? Non intrusive procedure, let the user try the product. Quantitative data, values from EEG monitoring system. Qualitative data collected after trial, conduct interview.
13. Conclusion Where to go from here? Find one specific stimuli that we will use as parameter. Examine if there should only be stimuli or also tasks in order to reach an Alpha state. Ex. via. Attention Training . Explore if there are other theories than Attention State training (AST) theory, in order to reach an alpha state. More testing in order to find the most optimal placement for sensors. How to test. Users that use application versus non users.
