Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Emotionally Aware Artificial Intelligence Systems for Strengthening Global Human Connections and Enhancing Psychological Well Being

Authors
A. Swathi1, *, S. Janani2, Satvik Vats3, 4, N. Selvanathan5, S. Shanmugapriya6, K. Alagarraja7
1Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
2Assistant Professor, Department of Computer Science and Engineering, J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu, India
3Assistant Professor, Computer Science and Engineering, Graphic Era Hill University, Dehradun, India
4Adjunct Professor, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India
5Assistant Professor, Department of IT, Sona College of Technology, Salem, Tamil Nadu, India
6Assistant Professor, Department of Artificial Intelligence and Data Science, Nehru Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
7Assistant Professor, Department of Mechanical Engineering, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India
*Corresponding author. Email: swathia@mlrit.ac.in
Corresponding Author
A. Swathi
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_48How to use a DOI?
Keywords
Emotionally aware AI; artificial emotional intelligence; psychological well-being; global human connection; emotion recognition; multimodal AI; ethical AI; AI in mental health; AI-driven empathy; real-time emotion AI; proactive AI engagement; cultural inclusivity in AI; human-centered AI; AI for social interaction; computational empathy; AI for psychological support; affective computing; emotional intelligence models; ethical AI development; personalized AI interactions
Abstract

Emotion-savvy AIs can even change the course of humanity by bringing us better relations and a boost in mental health. Nonetheless, the attempts remain predominantly theoretical, with minimal real-life proceedings, recognition varies with cultures, and ethics are relegated to the back burner. Throughout this research, we provide an innovative AI framework for multimodal emotional intelligence through facial expressions, voice tone and physiological signals for a more emotionally aware and responsive AI system. This study also establishes a link between AI technology and human emotional needs by addressing biases in existing emotion recognition systems and developing methods to improve an ethical deployment of AI. The model also includes real-time and more dynamic monitoring, lightweight AI architectures to enable the processing of vast amounts of data in a more rapid way, and interventions such as AI-assisted mental health programs. These findings will inform the creation of AI systems that not only detect emotions but also respond proactively to them, enhancing meaningful human connections across the world. Moreover, this research proposes a benchmark for assessing the emotional intelligence of AI, establishing necessary criteria for future developments.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_48How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. Swathi
AU  - S. Janani
AU  - Satvik Vats
AU  - N. Selvanathan
AU  - S. Shanmugapriya
AU  - K. Alagarraja
PY  - 2025
DA  - 2025/05/23
TI  - Emotionally Aware Artificial Intelligence Systems for Strengthening Global Human Connections and Enhancing Psychological Well Being
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 553
EP  - 564
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_48
DO  - 10.2991/978-94-6463-718-2_48
ID  - Swathi2025
ER  -