Each model corresponds to a different mapping from a measurement and uncertainty level to a category and confidence response. Colors correspond to category and confidence response, as in Fig 1a. Plots were generated using parameter values that were roughly similar to those found after fitting subject data but were chosen primarily to illustrate the different features of the models.</p
Each plot illustrates the support of a decision D in the feature space spanned by variables {xj, xk}...
Model predictions for participants choosing the predicted information compared to the alternative in...
<p>Rows distinguish the responses from and predictions for each subject. Columns distinguish the thr...
(A) and (B) show mean confidence and proportion of category 2 responses (colour scale) for binned st...
Numbers and colours denote the probability that the data generated with model X (x-axis) are best fi...
Estimates of model parameters for each country, obtained by non-linear least squares analysis on the...
<p>Models differ along three dimensions: whether precision is equal or variable, the observer’s assu...
<p>Green traces denote distributions for category , whereas orange traces denote distributions for c...
<p>In the graphical model, the diamonds represent quantities that change in time (i.e., that carry a...
Partial response in green (A), stable disease in blue (B), or progressive disease in red (C). Solid ...
<p>Table of all major model factors, identified by a label and short description. An observer model ...
Model analysis provides a mechanism for representing student learning as measured by standard multip...
(A) Calibration curve plot in the training set, and the solid lines indicate the performance of the ...
Information visualization can play an important role for exploring model sensitivity to facilitate d...
<p>The left column shows model observers' response distributions given input and values 6.0 and 3....
Each plot illustrates the support of a decision D in the feature space spanned by variables {xj, xk}...
Model predictions for participants choosing the predicted information compared to the alternative in...
<p>Rows distinguish the responses from and predictions for each subject. Columns distinguish the thr...
(A) and (B) show mean confidence and proportion of category 2 responses (colour scale) for binned st...
Numbers and colours denote the probability that the data generated with model X (x-axis) are best fi...
Estimates of model parameters for each country, obtained by non-linear least squares analysis on the...
<p>Models differ along three dimensions: whether precision is equal or variable, the observer’s assu...
<p>Green traces denote distributions for category , whereas orange traces denote distributions for c...
<p>In the graphical model, the diamonds represent quantities that change in time (i.e., that carry a...
Partial response in green (A), stable disease in blue (B), or progressive disease in red (C). Solid ...
<p>Table of all major model factors, identified by a label and short description. An observer model ...
Model analysis provides a mechanism for representing student learning as measured by standard multip...
(A) Calibration curve plot in the training set, and the solid lines indicate the performance of the ...
Information visualization can play an important role for exploring model sensitivity to facilitate d...
<p>The left column shows model observers' response distributions given input and values 6.0 and 3....
Each plot illustrates the support of a decision D in the feature space spanned by variables {xj, xk}...
Model predictions for participants choosing the predicted information compared to the alternative in...
<p>Rows distinguish the responses from and predictions for each subject. Columns distinguish the thr...
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