It seems to be very hard to figure out automatically, what content I will enjoy and what content I will not enjoy.
Of course, there are methods that require me to sit in front of a computer and press yes or no when I see content to determine whether I like it or not. But not only is it tedious, it is also not precise. It is not precise, because there are always more emotions involved, it is about the state of emotions and not a single emotion.
Therefore my idea is this:
While I am watching pictures or media of other kind, my brain waves are measured. Having seen a lot of photo, there will be a certain correlation to a photo being seen and a brain reaction. I could use this information to predict which media will evoke certain emotions in me. The only drawback is that this is not a static database that can be used over time but due to my increase of knowledge it needs to be updated. But in general this should give useful information that enables prediction based on machine learning.
Will this approach give me or anyone else performing this experiment useful data?