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The Math of Gamification
An anonymous reader writes "The Foursquare blog has an interesting post about some of the math they use to evaluate and verify the massive amount of user-generated data that enters their database. They need to figure out the likelihood that any given datapoint accurately represents reality, so they've worked out a complicated formula that will minimize abuse. Quoting: 'By choosing the points based on a user's accuracy, we can intelligently accrue certainty about a proposed update and stop the voting process as soon as the math guarantees the required certainty. ... The parameters are automatically trained and can adapt to changes in the behavior of the userbase. No more long meetings debating how many points to grant to a narrow use case. So far, we've taken a very user-centric view of p-sub-k (this is the accuracy of user k). But we can go well beyond that. For example, p-sub-k could be "the accuracy of user k's vote given that they have been to the venue three times before and work nearby." These clauses can be arbitrarily complicated and estimated from a (logistic) regression of the honeypot performance. The point is that these changes will be based on data and not subjective judgments of how many "points" a user or situation should get."
How about we just gameify gamification? Then we can quit talking about it, and trying to sell the idea to VCs who, like the rest of us, don't think it's going to work to solve interesting problems, and if it does, well, the people playing the gamefication game will self-solve the problem for us, won't they?
If Slashdot did this instead of mod points we could save everybody the heartache of being modded disagree, and then the mod armies could enjoy their retirement. So many duplicate accounts, so little satisfaction.
Sig Battery depleted. Reverting to safe mode.
So much math, so little gain.
There's no -1 for "I don't get it."
So it's logistic regression, kinda.
sysadmins and parents of newborns get the same amount of sleep.
Statistically graded meta-moderation w/ gamification for volume pumping. Cool, just cool.
So, the math will show where they get "enough" info to continue. Two big problems: audience composition and the stupidity of the crowds. They are assuming the people they have are the people they want, but what they don't understand is that those people don't exist. Their audience is composed of phantoms. Secondly, whatever they get is based on what idiots use their stuff for in the first place. Result? A race to the bottom....
Shoes for Industry. Shoes for the Dead.
Ever since FB stopped listing FS checkins, and the world stopped noticing who checks in where on FS,
it really means they can arrange their data any way they like.
Perhaps this is their method of convincing their investors they have some Imaginary Property or something.
I can't imagine another reason to pretend they have relevance. Like SnapChat, they're a temporary "service"
that has nothing but temporary eyeballs.
E
let's let math drive the specification process! Because human opinion and behavior is so predictable there must be a wave function for our target market segment. Wait, I have it! BeN+d = oVEr
Sent from my ENIAC
That's all well and good.. but we could do even better by abandoning the whole foursquare concept entirely and just going places for the hell of it. Not everything in life needs to be turned into a badge or achievement. I am surprised that the whole "checking in" concent limped on this long considering its clunkiness and "tacked on" factor.
They have a program that guesses how good someone is at having the opinion of the average four square user, maybe?
Play Command HQ online
There's some meat hangin on this Gamification bone? One example might be the profits from a lack of government regulations on businesses in a particular industry. The gaming of investing in industries that have fewer laws for the purpose of creating investment bubbles. I'd bet on it.
We have your son/daughter/fiance/dog and want money/sex/pokemons/biscuits for their safe/tortured return.
You're a temporary arrangement of matter sliding towards oblivion in a cold, uncaring universe
Okay, so they used supervised machine learning techniques and depending on the "features" of the user entry decide the accuracy.
Good for them!