Posted by wespiser_2018 1 day ago
Incidentally OP if you want to make it more adaptive, you can just fit the B-T model each time, and grab a posterior sample of what the best pair is, and test that, which turns out to be Thompson sampling. I did this for fun with blind taste-testing of mineral waters: https://gwern.net/water
Below, I filtered for A vs E, the top two choices. Notice how they switch left and right hand each time:
A/E :: A
E/A :: A
A/E :: E
E/A :: E
A/E :: E
The initial set-up was to do 3 comparisons of the 5 treats (30 trials), alternate between right and left hand, then write a quick python script to randomize the order.
A bit more than halfway through the experiment, I ran the model and realized that A/D/E were the only contenders left, so I removed the B/C trials and added more A/D/E trials.
I didn't realize R/L preference was biased until I did the data analysis, and during the trials he was picking from both hands often enough that I perceived it as roughly 50% depending on the treats!
Winner was Pur Luv Chicken, closely followed by MON2SUN duck + rawhide. Greenies and Pork Chomps fared poorly.
I believe it's explained by the job we've asked Greyhounds to do: see movement, get released, run after it. Once you let go, that's it, the dog needs to be motivated enough by the running animal or lure, and there's no chance to reinforce the loop once it starts!
Hardest part is now feeding them all separate dishes at regular times every day.
There is a medicine you can put on dogs' food to make their crap taste bad to them. There might be something similar you can give kitty.
Why would you give your dog those as treats?