For the social media project I attempted to find a way of incorporating my own personal research of EEGs and Brain Computer Interfaces (BCI) into an application in the field of social media. In order to design this application, I assumed that users would have access to personal EEG devices that would be able to record their neurofeedback and regularly send it to their smartphone throughout the course of a day. While this technology doesn’t currently exist there are companies such as Nuerosky and Emotiv that are working to create commercial EEG devices for the everyday person.
After making said assumption I designed the interface for a smartphone app that would allow the user to do a number of things:
- passively log personal EEG data through a discrete wearable sensor over the course of a day
- actively record external stimuli to retroactively plot against personal neurofeedback
- interact with passively and actively recorded data through a comprehensive graph plotter
- create unique categories of manual inputs
- share interesting findings with other users
- have the option to anonymously share personal neurofeedback data and manually recorded stimuli with a central server for BrainSYNC researchers to perform research of the masses
- read articles and research performed on data collected from the mass user base of the application
It is my hope that an application like this would create a new method of conducting scientific research – research of the masses. Though it could be argued that this type of data is not collected in a scientifically acceptable manor, there would be no denying the value of such a large set of data entries if a sizable number of users got partook in the social aspect of the application.
Below is a screenshot of an interface mockup. I haven’t posted all of the interface mockups for proprietary reasons. Feel free to contact me if you are interested in getting involved or just to learn more (conor.russomanno@gmail.com).
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