Literature DB >> 15993402

Measuring individual differences in sensitivities to basic emotions in faces.

Atsunobu Suzuki1, Takahiro Hoshino, Kazuo Shigemasu.   

Abstract

The assessment of individual differences in facial expression recognition is normally required to address two major issues: (1) high agreement level (ceiling effect) and (2) differential difficulty levels across emotions. We propose a new assessment method designed to quantify individual differences in the recognition of the six basic emotions, 'sensitivities to basic emotions in faces.' We attempted to address the two major assessment issues by using morphing techniques and item response theory (IRT). We used morphing to create intermediate, mixed facial expression stimuli with various levels of recognition difficulty. Applying IRT enabled us to estimate the individual latent trait levels underlying the recognition of respective emotions (sensitivity scores), unbiased by stimulus properties that constitute difficulty. In a series of two experiments we demonstrated that the sensitivity scores successfully addressed the two major assessment issues and their concomitant individual variability. Intriguingly, correlational analyses of the sensitivity scores to different emotions produced orthogonality between happy and non-happy emotion recognition. To our knowledge, this is the first report of the independence of happiness recognition, unaffected by stimulus difficulty.

Mesh:

Year:  2005        PMID: 15993402     DOI: 10.1016/j.cognition.2005.04.003

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  7 in total

1.  Age-related differences in brain activity underlying identification of emotional expressions in faces.

Authors:  Michelle L Keightley; Kimberly S Chiew; Gordon Winocur; Cheryl L Grady
Journal:  Soc Cogn Affect Neurosci       Date:  2007-12       Impact factor: 3.436

2.  Improving Measurement Precision in Experimental Psychopathology Using Item Response Theory.

Authors:  Leah M Feuerstahler; Niels Waller; Angus MacDonald
Journal:  Educ Psychol Meas       Date:  2019-12-06       Impact factor: 2.821

3.  Are event-related potentials to dynamic facial expressions of emotion related to individual differences in the accuracy of processing facial expressions and identity?

Authors:  Guillermo Recio; Oliver Wilhelm; Werner Sommer; Andrea Hildebrandt
Journal:  Cogn Affect Behav Neurosci       Date:  2017-04       Impact factor: 3.282

4.  Individual differences in the recognition of enjoyment smiles: no role for perceptual-attentional factors and autistic-like traits.

Authors:  Valeria Manera; Marco Del Giudice; Elisa Grandi; Livia Colle
Journal:  Front Psychol       Date:  2011-07-07

5.  Validation of the Amsterdam Dynamic Facial Expression Set--Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions.

Authors:  Tanja S H Wingenbach; Chris Ashwin; Mark Brosnan
Journal:  PLoS One       Date:  2016-01-19       Impact factor: 3.240

6.  Individual Differences in the Speed of Facial Emotion Recognition Show Little Specificity but Are Strongly Related with General Mental Speed: Psychometric, Neural and Genetic Evidence.

Authors:  Xinyang Liu; Andrea Hildebrandt; Guillermo Recio; Werner Sommer; Xinxia Cai; Oliver Wilhelm
Journal:  Front Behav Neurosci       Date:  2017-08-10       Impact factor: 3.558

7.  Constructing three emotion knowledge tests from the invariant measurement approach.

Authors:  Ana R Delgado; Gerardo Prieto; Debora I Burin
Journal:  PeerJ       Date:  2017-09-13       Impact factor: 2.984

  7 in total

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