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ERT measures the ability to identify emotions in facial expressions. The participant is shown a series of faces which appear on the screen briefly and asked to identify the emotion (happiness, sadness, anger, disgust, surprise and fear). One hundred and eighty stimuli, which are computer morphed images derived from the facial features of real individuals each showing a specific emotion, are displayed on the screen, one at a time, in two blocks of ninety. Each face is displayed for a short while (200ms) and then immediately covered up, and then six buttons are displayed, each describing an emotion which could be portrayed in the photograph. The participant must decide which is the appropriate button to describe the emotion and touch the button. There are fifteen different photographs for each of the six emotions, each showing different levels of intensity.



Definition contributed by Anonymous
Emotion Recognition Task has been asserted to measure the following CONCEPTS
as measured by the contrast:

Phenotypes associated with Emotion Recognition Task


No associations have been added.


No associations have been added.


No associations have been added.

IMPLEMENTATIONS of Emotion Recognition Task
No implementations have been added.
EXTERNAL DATASETS for Emotion Recognition Task
No implementations have been added.

Experimental conditions are the subsets of an experiment that define the relevant experimental manipulation.


You must specify conditions before you can define contrasts.

In the Cognitive Atlas, we define a contrast as any function over experimental conditions. The simplest contrast is the indicator value for a specific condition; more complex contrasts include linear or nonlinear functions of the indicator across different experimental conditions.

response time
standard deviation

An indicator is a specific quantitative or qualitative variable that is recorded for analysis. These may include behavioral variables (such as response time, accuracy, or other measures of performance) or physiological variables (including genetics, psychophysiology, or brain imaging data).


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Facial emotion expression recognition by children at familial risk for depression: high-risk boys are oversensitive to sadness.
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