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Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

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EmoCodes: a Standardized Coding System for Socio-emotional Content in Complex Video Stimuli.

M Catalina Camacho¹, Elizabeth M Williams¹, Dori Balser¹

¹Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130 USA.

Affective Science

|September 1, 2022

Summary

This study introduces EmoCodes, a standardized, open-source system for analyzing complex videos in affective neuroscience. It includes a coding manual and Python library to advance replicable socio-emotional processing research.

Keywords:

Emotion processing Movie-watching Naturalistic stimuli Valence–arousal system

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Area of Science:

Affective Neuroscience
Computational Neuroscience
Social Psychology

Background:

Affective neuroscience traditionally uses static stimuli, limiting understanding of complex emotional processing.
Representing emotional information in the brain requires analyzing dynamic, real-world social interactions.
Current methods lack standardization for using complex video stimuli in socio-emotional research.

Purpose of the Study:

To introduce a standardized, open-source coding system for analyzing complex video stimuli in affective neuroscience.
To provide tools for researchers to code and analyze socio-emotional information from videos.
To facilitate replicable and standardized research on emotion processing using dynamic stimuli.

Main Methods:

Developed the EmoCodes manual coding system for complex cartoon stimuli.
Created the 'emocodes' Python library for automated video feature extraction and code analysis.
Provided two fully coded example videos and open-access materials.

Main Results:

The EmoCodes system offers an externally validated and replicable method for coding video stimuli.
The Python library automates data processing, aiding neuroimaging analysis suitability.
The developed resources enable standardized analysis of socio-emotional processing from complex videos.

Conclusions:

EmoCodes provides a crucial tool for advancing the study of socio-emotional processing with complex video stimuli.
This system promotes standardization and replicability in affective neuroscience research.
The open-source nature of EmoCodes encourages wider adoption and further development.