Interpersonal Relationship

Interpersonal relationships are a central focus of research aiming to objectively quantify their dynamics and improve their quality. Current studies utilize diverse methods, including analyzing dyadic EEG signals with deep learning models (e.g., combining dynamic graph convolutional networks and canonical correlation analysis) and simulating conflict resolution scenarios using large language models conditioned on established conflict resolution theories. This research is significant for its potential to enhance understanding of human interaction, improve conflict resolution training, and inform the design of more socially competent AI agents and human-centered technologies.