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In the performance-improvement existing category task case, their time was roughly equally split between the interface components.
Interestingly, a breakdown of user activity logs indicates that in this no-improvement new category task case, users made little use of the XML3D interface component, spending most of their time interacting with the 2D list components.
In Experiment 1 (non-human faces), exemplar targets were a specific ape face, a different face for each participant, and category targets were any ape faces (versus other animal face distractors, i.e., the category task was framed as a species task).
In Experiment 2 (human faces), exemplar targets were a specific male or female face, also different for each participant, and category targets were any male or female face (i.e., the category task was framed as a gender task), with the gender of the target faces being counterbalanced across participants.
In each channel, we build an independent boosting model for training classifiers that can recognize a corresponding category task.
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Future studies should determine whether the more reliable differentiation of responses to exemplar versus category tasks evidenced in the present study generalizes to other exemplar versus category contrasts relevant for face processing expertise (e.g., identity versus ethnicity) or to an increased differentiation of responses across distinct category tasks (e.g., ethnicity versus gender).
Follow-up analyses showed that the difference between existing and new category tasks was larger when a single parent was involved,,, than when multiple parents were involved,,.
It is interesting that, for both the normal and the WD patients, performance in the rule-based and information-integration category tasks was not significantly correlated.
Results from this study suggested that more attention resources were recruited by personality words relative to physical words in category tasks.
On a six-category task, German adults correctly categorized intention 75% of the time (where 17% represents chance performance).
Subjects are either required to sort target category stimuli to the target categories (task 1) or attribute category stimuli to the attribute categories (task 2).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com