We are conducting a meta-analysis on the relationship between emotion recognition ability and intelligence. More specifically, we are seeking to investigate how different facets of cognitive intelligence correlate with people’s ability to accurately detect emotions in others and how test and study features moderate this relationship.
If you have conducted any published or unpublished studies in which you administered performance-based measures of both emotion recognition and cognitive intelligence to non-clinical adults, we would be very happy to include this data in our meta-analysis.
In this case, please write the following information:
Names of the emotion recognition and cognitive intelligence tests used (if the tests were custom-built for your study, please provide a short description), the zero-order correlation(s) between the tests, and study characteristics (sample size, mean age, gender composition, ethnic composition, year of the study, publication status – published or unpublished). If available, please also specify the number of items and Cronbach’s alpha of each test. In case you used tests that consist of different subtests (e.g., a vocal and a facial emotion recognition test; a test battery for different facets of intelligence), preferably provide the correlations for the subtests rather than the total scores.
Thank you in advance for your help!
Katja Schlegel and Judith Hall (Northeastern University)
Marianne Schmid Mast and Tristan Palese (University of Lausanne)
Nora Murphy (Loyola Marymount University)
Thomas Rammsayer (University of Berne)
Dear Katja,
following papers might help you and they provide you by some emotion recognition results and datasets.
If you need the full text, you can request them via researchgate
CNN Based Subject-Independent Driver Emotion Recognition System Involving Physiological Signals for ADAS (to appear tomorrow)
https://www.researchgate.net/publication/307587787_CNN_Based_Subject-Independent_Driver_Emotion_Recognition_System_Involving_Physiological_Signals_for_ADAS
EEG-based emotion recognition approach for e-healthcare applications
https://www.researchgate.net/publication/306063260_EEG-based_emotion_recognition_approach_for_e-healthcare_applications
Chapter CNN Based Subject-Independent Driver Emotion Recognition Sys...
Conference Paper EEG-based emotion recognition approach for e-healthcare applications
Dear Katja,
Victoria Ovsyannikova and I recently wrote a paper that probably fits your request. It has been accepted by Learning and Individual Differences and has an ‘in press’ status at the moment. I’m attaching this paper. We describe a new Videotest for emotion recognition and provide correlations between this test and an array of other variables including intelligence measured by Raven’s APM. You will find further details in the text.
If you have any question I’ll be happy to answer.
Best wishes,
Dmitry
Dear Katja
You might find our paper in PLoS One fits with your meta-analysis. Details are: Palermo, R., O'Connor, K.B., Davis, J.M., Irons, J., & McKone, E. (2013). New tests to measure individual differences in matching and labelling facial expressions of emotion, and their association with ability to recognise vocal emotions and facial identity. PLoS ONE, 8(6), e68126. doi:10.1371/journal.pone.0068126. We include a measure of ability (Cattell's Culture Fair) as well.
Best wishes.
Romina
Thanks Fadi for pointing me to those papers, I have now requested access to them. Many thanks also to Dmitry and Romina, I have now included your results in our meta-analysis.
- Badges
- Science method
- Similar topics
- Mathematics
- Statistics
- Statistical Techniques
- Meta-Analysis