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Social Cognition

Emotion Recognition Task

Available through DigiDiag

The ERT is created by Barbara Montagne, Roy Kessels, David Perrett and Edward de Haan.

Regression-based norms are available from a sample of 418 healthy participants from Australia, the Netherlands, Ireland and Germany aged 8-88.

(left to right:) Barbara, Montagne, Roy Kessels, Edward de Haan and David Perrett.

Emotion Recognition Task based on Scientific Research

Updated normative data 2020 18-88 (n=255).pdf

Assessment of perception of morphed facial expressions using the Emotion Recognition Task (ERT): Normative data from healthy participants aged 8-75
Kessels, R.P.C., Montagne, B., Hendriks, A.W., Perrett, D.I, & De Haan, E.H.F. (2014). Journal of Neuropsychology, 8, 75-93.

De Emotion Recognition Task (ERT): Een test om de perceptie van emotionele gezichtsuitdrukkingen te meten
Kessels, R.P.C. & Montagne, B. (2017). Tijdschrift voor Neuropsychologie, 2, 181 – 194.  Amsterdam: Boom Testuitgevers

Emotion Recognition Task

Via DigiDiag

During the Emotion Recognition Test (ERT), images of faces gradually change from neutral to a certain emotion. The client is requested to recognise the emotion.

The ERT was developed by Barbara Montagne, Roy Kessels, David Perrett and Edward de Haan. Regression-based norms are available from a sample of 418 healthy participants from Australia, the Netherlands, Ireland and Germany, aged 8-88.

Data of individual participants are stored at the level of each trial for research purposes, but an aggregated PDF report is also generated per individual, showing the individual’s performance as percentile for each emotion as well as the total score.

The authors published the task in the via Metrisquare. The test can be used for free when you set up an account. You can  create an account for only €9,99.

The ERT is available Dutch, English, German, French, Spanish, Finnish, Italian, Russian, Lithuanian, Greek, Portugese and Turkish.

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Emotion Recognition Task

ERT for Research on Dementia

Metrisquare has partnered with the Centre for Healthy Brain Ageing (CHeBA) at University of New South Wales Sydney in Australia to deliver an online tool to assess social cognition.

Even though social cognition is often affected in dementia, it is less well understood than memory and executive function. There are expected age-related changes in social cognition in healthy and cognitively normal older adults but the extent to which this varies is not clear.

Work at CHeBA seeks to ascertain what can be considered normative social cognitive functioning in older adults, what changes are attributable to normal age-related changes, and if early changes in social cognitive function can serve as a marker of cognitive decline and predict future onset of dementia. By assessing social cognition in older Australian twins, researchers at CHeBA will also examine the extent to which social cognition and changes in social cognition are determined by genetics and our environment.

Social perception, which is the gathering and detection of social cues from one’s environment to assess a situation, is a subdomain of social cognition. The most salient example of this is emotion recognition, particularly through facial expressions and tone of voice.

 

While dementia is associated with outright impairments in correctly identifying certain facial expressions of emotions, it is likely that this impairment has a gradual onset, and that milder forms of cognitive impairment is associated with slight impairments in recognizing emotions at an incremental level.

For this reason, CHeBA decided to use the Emotion Recognition Task (ERT) hosted on the Metrisquare platform to quantify this skill. The ERT assesses participants on their accuracy in identifying the six basic emotions (anger, fear, disgust, happiness, sadness, surprise) at various intensities (20%, 40%, 60%, 80%, 100%) and allows the researchers to better map out more subtle differences and changes in emotion recognition ability. The ERT has been validated in numerous other clinical groups, including autism spectrum disorders, frontotemporal dementia, and Alzheimer’s disease.

CHeBA’s vision is to achieve, through research, healthier brain ageing and better clinical care of age-related brain diseases. Metrisquare is proud to partner with them in this endeavour.

Text written and approved by: Vibeke Catts, Study Coordinator Older Australian Twins Study (OATS) and Russell Chander, Scientia PhD Scholar, at CHeBA, UNSW Sydney.

Text written and approved by: (left) Vibeke Catts, Study Coordinator Older Australian Twins Study (OATS) and (right) Russell Chander, Scientia PhD Scholar, at CHeBA, UNSW Sydney.

References

”While dementia is associated with outright impairments in correctly identifying certain facial expressions of emotions, it is likely that this impairment has a gradual onset, and that milder forms of cognitive impairment is associated with slight impairments in recognizing emotions at an incremental level.

For this reason, CHeBA decided to use the Emotion Recognition Task (ERT) hosted on the Metrisquare platform to quantify this skill. The ERT assesses participants on their accuracy in identifying the six basic emotion at various intensities and allows the researchers to better map out more subtle differences and changes in emotion recognition ability.”

Vibeke Catts

Study Coordinator Older Australian Twins Study (OATS), Centre for Healthy Brain Ageing (CHeBA), University of New South Wales (UNSW), Sydney, Australia