A modern take on Matthias Wandel's classic [0], which has you guess a variety of geometric attributes (e.g. angle bisection, centroid locating, shape regularization), not just simple partitioning of a line.
idk, it only took me one click to figure out what the goal was and how I was being judged (beat the average). I feel like that's part of the puzzle. Sort of similar to Baba is You. Figuring out the goal is part of the puzzle.
Just want to say thank you for sharing your project. Very fun, and I wouldn't know about Matthias Wandel's version if not for yours!
Also, both of these tickled my brain in a great way. I think a potentially fun continuation would be to "eyeball" physics. For example, throw a ball and pause the physics before it hits something (ground, object, who knows?) and guess the location. Or show two objects about to collide with certain shapes and masses and guess what one of them will hit first and where.
It would be great to have a 'training' mode, where you get to repeat ones you miss. This would increase the learning speed.
Easy training- repeat the one you just borked
Medium training- cycles through say 5 examples until you get all five within your target range (1%, 0.1%, whatever)
It's interesting that there are, at the time I'm commenting, 11 new users commenting on this submission, some commenting multiple times. I wonder what the effect of "share my score" type pages have on account creation.
yes, was thinking the same. but it's also weird that the amount of new users commenting is so much higher here. wonder if that is just not a coincidence.
The fact that the numbers are in a brighter color than the end marks, and that the numbers go inwards, makes it slightly more difficult than it would otherwise be, because the eye is biased by the more prominent space between the numbers being different from the line between the marks.
Great idea! Have you considered storing triplets <range, correct number, selected number> for each try and making image plots of these (x/y coordinates are correct/selected numbers, color of each pixel represents frequency) for multiple users for each range? I think the image might reveal interesting properties of human eyeballing, like near-perfect accuracy around 50%, but with less obvious correlations.
I didn't think I'd be any good at this. What I didn't expect is how wildly inaccurate I'd be on every single goddamn attempt lmao it's like I completely lack whatever part of your brain is required to do this
[0] https://woodgears.ca/eyeball/index.html