How many games
## # A tibble: 1 x 3
## # Groups: numPlayers [1]
## numPlayers complete partial
## <dbl> <int> <int>
## 1 6 10 6
How long full games took
## # A tibble: 1 x 7
## numPlayers games min_time `25th_time` median_time `75th_time` max_time
## <dbl> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 6 10 47 58 67 78 83
Here we compare: - 6 player rotate (study 1) - 6 player no-rotate (study 2a) - 6 player rotate, high feedback (study 2b) - 6 player rotate, listeners communicate with 4 emojis (study 2c) - 2 player rotate (study 1) as a baseline
Everything here has bootstrapped 95% CIs.
Should find better curves to fit, but using quadratic to allow for some curvature.
What fraction of listener-trials produce any emoji? (Grouped by game)
Of emoji that are used, what’s the distribution?
A few people sent many copies of the same emoji over the course of a single trial which could sway things, so we check by binarizing by did that listener produce that emoji on that trial and then summarizing.