AI-Enhanced Emotional Communication: The EmoConnect Model for Bridging Human Relationships Digitally

Emotional misalignment is a growing concern in digital communication, where the absence of non-verbal cues often leads to misunderstandings and relationship strain. This study presents EmoConnect, an AI-powered system designed to enhance emotional synchronization in online interpersonal settings.

Embedded within the Self-Analysis psychological framework, EmoConnect creates a multilayered psychological profile—called the Self-Analysis Psychological DNA Code—by combining explicit self-reports and unconscious behavioral patterns. These data are processed through a machine learning model (SVM) that predicts emotional compatibility and offers personalized communication strategies.

A quantitative study with 100 participants demonstrated a 25% improvement in mutual emotional alignment (p < .01), while a qualitative pilot confirmed practical benefits such as improved empathy and reduced conflict. EmoConnect translates deep psychological theory—including attachment styles and Transactional Analysis—into real-time emotional feedback, enabling users to understand and adjust their relational dynamics in digital environments.

These findings position EmoConnect as a scalable tool for promoting healthier emotional interactions in virtual communication contexts.

Plain Language Summary

Communicating true feelings in relationships can be difficult. We have created an artificial intelligence tool called EmoConnect that helps people better understand themselves and their partners. By creating a "digital psychological profile" for each person, this tool identifies their hidden communication patterns.

In our study, using EmoConnect improved mutual agreement between people by 25%, and 60% of participants in a real-world study reported fewer conflicts and better relationships. This research shows that artificial intelligence can be a powerful tool for building healthier relationships online.Read the full study here.

Publication Status: This manuscript is currently under peer review at the Cyberpsychology: Journal of Psychosocial Research on Cyberspace.