I have been thinking about making more use of Bayes theorem in computer interfaces and systems.
The idea with Bayes theorem is you start off with some prior assumption about the probability of stuff, then re-estimate your probabilities as more information comes available.
There was a good attempt at explaining Bayes theorem here.:
http://www.theguardian.com/science/life-and-physics/2014/sep/28/belief-bias-and-bayes
I haven’t read this piece but a quick skim suggests it might be on the lines I am thinking about:
http://www.sciencedirect.com/science/article/pii/S0957417412010731
The idea is to create better UI's. For example, predictive text on phones is good up to a point, but then fails spectacularly -- for instance it thinks I am obsessed with ducks. Actually, I think some Bayesian stuff is being used to help with these algorithms, but it needs work.
It would be awesome if UI's could learn from their users, help guess what button they were really trying to touch (eg if user hits a button, then promptly hits back that is a clue they need more info to make the right choice before hitting the button.
John
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