Investigating the Role of Culture on Negative Emotion Expressions in the Wild.

ABSTRACT: Even though culture has been found to play some role in negative emotion expression, affective computing research primarily takes on a basic emotion approach when analyzing social signals for automatic emotion recognition technologies. Furthermore, automatic negative emotion recognition systems still train data that originates primarily from North America and contains a majority of Caucasian training samples. As such, the current study aims to address this problem by analyzing what the differences are of the underlying social signals by leveraging machine learning models to classify 3 negative emotions, contempt, anger and disgust (CAD) amongst 3 different cultures: North American, Persian, and Filipino. Using a curated data set compiled from YouTube videos, a support vector machine (SVM)

SUBMITTER: Hughson E 

PROVIDER: S-EPMC8696886 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature