Production expectations modulate contrastive inference
Elisa Kreiss & Judith Degen, 2020
Data 1 (in dark colors):
Empirical: No prior
Empirical: Typical prior
Empirical: Atypical prior
Model: No prior
Model: Typical prior
Model: Atypical prior
Empirical: No prior (pre-adj)
Empirical: Typical prior (pre-adj)
Empirical: Atypical prior (pre-adj)
Data 2 (in light colors):
--
Empirical: No prior
Empirical: Typical prior
Empirical: Atypical prior
Model: No prior
Model: Typical prior
Model: Atypical prior
Empirical: No prior (pre-adj)
Empirical: Typical prior (pre-adj)
Empirical: Atypical prior (pre-adj)
Correlation of target selections between Data 1 and Data 2
Correlation Pearson's r is computed from condition means, without variance.
Color coding: condition.
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Color coding:
Item
Typicality (typical: purple; atypical: blue)
Condition
Item selections:
All
Target selections only
Conditions
contrast, atyp targ, typ comp
contrast, typ targ, typ comp
contrast, atyp targ, atyp comp
contrast, typ targ, atyp comp
no contrast, atyp targ, typ comp
no contrast, typ targ, typ comp
no contrast, atyp targ, atyp comp
no contrast, typ targ, atyp comp