AI-Driven Emotional Intelligence

Shirley Selvan, M. Apoorvan, Alan A. Aloysius

2025

Abstract

This research brings to the forefront the potential for transformative use of Artificial Intelligence (AI) techniques, specifically Natural Language Processing (NLP), in the augmentation of mental health care services. Mental health disorders, including conditions of stress, depression, and anxiety, are widespread across the world, but the availability of proper care and interventions is mostly suboptimal. With the use of frontier advances in AI and NLP, this research suggests a new paradigm for addressing this gap through the creation of intelligent systems capable of comprehending and responding to human expression in the area of mental health. Through the processing of text-based data from sources like social media, chat records, and self-reporting measures, AI-supported natural language processing (NLP) systems are capable of identifying useful information regarding individuals' emotional states, cognitive patterns, and behavioral tendencies. Such information can be used for the creation of personalized interventions like crisis management chatbots, mood-tracking systems, and virtual counseling services. With its capability for timely and personalized assistance, this AI-based model has the potential to revolutionize mental health services to make them more accessible, affordable, and inclusive for global populations.

Paper Citation

in Harvard Style

Selvan S., Apoorvan M. and Aloysius A. (2025). AI-Driven Emotional Intelligence. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 273-281. DOI: 10.5220/0013926600004919

in Bibtex Style

@conference{icrdicct`2525,
author={Shirley Selvan and M. Apoorvan and Alan Aloysius},
title={AI-Driven Emotional Intelligence},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={273-281},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013926600004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - AI-Driven Emotional Intelligence
SN - 978-989-758-777-1
AU - Selvan S.
AU - Apoorvan M.
AU - Aloysius A.
PY - 2025
SP - 273
EP - 281
DO - 10.5220/0013926600004919
PB - SciTePress