Title |
Test battery for measuring the perception and recognition of facial expressions of emotion
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Published in |
Frontiers in Psychology, May 2014
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DOI | 10.3389/fpsyg.2014.00404 |
Pubmed ID | |
Authors |
Oliver Wilhelm, Andrea Hildebrandt, Karsten Manske, Annekathrin Schacht, Werner Sommer |
Abstract |
Despite the importance of perceiving and recognizing facial expressions in everyday life, there is no comprehensive test battery for the multivariate assessment of these abilities. As a first step toward such a compilation, we present 16 tasks that measure the perception and recognition of facial emotion expressions, and data illustrating each task's difficulty and reliability. The scoring of these tasks focuses on either the speed or accuracy of performance. A sample of 269 healthy young adults completed all tasks. In general, accuracy and reaction time measures for emotion-general scores showed acceptable and high estimates of internal consistency and factor reliability. Emotion-specific scores yielded lower reliabilities, yet high enough to encourage further studies with such measures. Analyses of task difficulty revealed that all tasks are suitable for measuring emotion perception and emotion recognition related abilities in normal populations. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Hungary | 1 | <1% |
Chile | 1 | <1% |
Sweden | 1 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 217 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 19% |
Student > Master | 30 | 13% |
Researcher | 28 | 13% |
Student > Bachelor | 27 | 12% |
Student > Doctoral Student | 16 | 7% |
Other | 37 | 17% |
Unknown | 43 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 113 | 51% |
Neuroscience | 18 | 8% |
Medicine and Dentistry | 7 | 3% |
Agricultural and Biological Sciences | 6 | 3% |
Computer Science | 5 | 2% |
Other | 26 | 12% |
Unknown | 48 | 22% |