Closed belledon closed 4 years ago
@iyildirim below are a set of stats over the human dataset
Histogram of densities across shape x (control/matched + shape)
Histogram of mass across shape x (control/matched + shape)
Histogram of ramp object initial position across shape x (control/matched + shape)
The number of trials per trial type, material, shape
# Groups: type, material [6]
type material shape `n()`
<chr> <fct> <chr> <int>
1 control Iron Block 15
2 control Iron Puck 15
3 control Brick Block 15
4 control Brick Puck 15
5 control Wood Block 15
6 control Wood Puck 15
7 matched Iron Block 20
8 matched Iron Puck 20
9 matched Brick Block 20
10 matched Brick Puck 20
11 matched Wood Block 20
12 matched Wood Puck 20
Distribution of frame of collision
Here the greater variance in Brick
is due to the high friction interacting with varying surface area of the bottom surface (each dimension of volume is scaled independently)
Histogram of ramp object initial position across shape x (control/matched + shape)
Should we be concerned that those "matching" trials density maps don't map?
Histogram of mass across shape x (control/matched + shape)
Don't you think it'd be desirable to have normal-iron mass distribution not overlap with heavy-iron distribution at all?
@iyildirim below are a set of stats over the human dataset
Those are great -- thanks for sharing!
thanks for your comments @iyildirim !
Should we be concerned that those "matching" trials density maps don't map?
Maybe. the controls here are those 90 trials that are unmatched. Within the matched there is both congruent and incongruent and the position is shared for a given pair. Rather than doing random sampling, maybe I should just do an interpolation.
Don't you think it'd be desirable to have normal-iron mass distribution not overlap with heavy-iron distribution at all?
yeah, i'll increase the upper bound
here are some updates with interpolating position and increasing the log distances in heavy/light
These look great! Thanks!
almost read to launch. just trying to debug something with the condition list
all of these bars should be the same height, representing that each scene is equally distributed across conditions
lol plotting strikes again, it was aggregating at the wrong bin width. we're all set. I'll tweak some things on psiturk
(the bar on f
is just a visual glitch)
[x] verify dataset
[x] create condlist
[ ] verify condlist