Emotionally Intelligent AI: The Future of Mental Health Care and Emotional Well-being


Year : 2025 | Volume : 02 | Issue : 01 | Page : 17-21
    By

    Ishika,

  • Shreya Pant,

  • Sangeeta Kakkar,

  1. Student, Department of Psychology, Shoolini University, Solan, Himachal Pradesh, India
  2. Student, Department of Psychology, Shoolini University, Solan, Himachal Pradesh, India
  3. Assistant Professor, Department of Psychology, Shoolini University, Solan, Himachal Pradesh, India

Abstract

With the potential to improve emotional well-being through sophisticated AI systems, emotionally intelligent AI (EI-AI) represents a revolutionary frontier in mental health treatment. EI-AI can recognize, understand, and react to human emotions in real- time by utilizing recent advancements in machine learning, natural language processing, and emotion detection. These features are being used more and more in mental health settings, where chatbots and other AI-driven interventions help with emotional regulation, offer individualized assistance, and make it possible to identify mental health problems early. This review paper examines how EI-AI may transform mental health care by providing immediate emotional support and increasing access to individualized mental health therapies. Additionally, it evaluates the ethical issues and present constraints surrounding the integration of EI-AI in healthcare settings. A comprehensive review has compiled the previous ten years paper results of peer-reviewed research, industry reports, and case studies in the domains of artificial intelligence, mental health, and emotional intelligence. The results of EI-AI applications have shown encouraging outcomes in enhancing emotional control, assisting in the early detection of mental health issues, and easily accessible mental health treatments. It still exists, though, such as difficulties preserving empathy, protecting privacy, and modifying emotion recognition software for various demographics and situations. The broad ramifications of incorporating EI-AI into mental health treatment include improving underprivileged people and offering ongoing mental health monitoring.

Keywords: Emotionally Intelligent AI, Mental Health, Emotion Recognition, Personalized Care, Ethical Considerations

[This article belongs to Recent Trends in Social Studies ]

How to cite this article:
Ishika, Shreya Pant, Sangeeta Kakkar. Emotionally Intelligent AI: The Future of Mental Health Care and Emotional Well-being. Recent Trends in Social Studies. 2025; 02(01):17-21.
How to cite this URL:
Ishika, Shreya Pant, Sangeeta Kakkar. Emotionally Intelligent AI: The Future of Mental Health Care and Emotional Well-being. Recent Trends in Social Studies. 2025; 02(01):17-21. Available from: https://journals.stmjournals.com/rtss/article=2025/view=192622


References

  1. Goleman DP. Emotional intelligence Why it can matter more than IQ for character,
    health and lifelong achievement. Scientific Research Publishing. 1995.
  2. Salovey P, Mayer JD. Emotional intelligence. Imagination, cognition and personality. 1990 Mar;9(3):185-211.
  3. Lee EE, Torous J, De Choudhury M, Depp CA, Graham SA, Kim HC, Paulus MP, Krystal JH, Jeste DV. Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 2021 Sep 1;6(9):856-64.
  4. Topol E. Deep medicine: how artificial intelligence can make healthcare human again. Hachette UK; 2019 Mar 12.
  5. Vicci DH. Emotional Intelligence in Artificial Intelligence: A Review and Evaluation Study. Available at SSRN 4818285. 2024 May 9.
  6. Narimisaei J, Naeim M, Imannezhad S, Samian P, Sobhani M. Exploring emotional intelligence in artificial intelligence systems: a comprehensive analysis of emotion recognition and response mechanisms. Annals of Medicine and Surgery. 2024 Aug 1;86(8):4657-63.
  7. Pantic M, Valstar M, Rademaker R, Maat L. Web-based database for facial expression analysis. In2005 IEEE international conference on multimedia and Expo 2005 Jul 6 (pp. 5-pp). IEEE.
  8. Fitzpatrick KK, Darcy A, Vierhile M. Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR mental health. 2017 Jun 6;4(2): e7785.
  9. Khare SK, Blanes-Vidal V, Nadimi ES, Acharya UR. Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations. Information fusion. 2024 Feb 1; 102:102019.
  10. Dwyer JB, Stringaris A, Brent DA, Bloch MH. Annual Research Review: Defining and treating pediatric treatment‐resistant depression. Journal of Child Psychology and Psychiatry. 2020 Mar;61(3):312-32.
  11. Praveena KB, Suresh B, Patrer D. Emotion recognition with AI: Techniques and applications. World Journal of Advanced Research and Reviews. 2020;8(2):344-52.
  12. Bilquise G, Ibrahim S, Shaalan K. Emotionally intelligent chatbots: a systematic literature review. Human Behavior and Emerging Technologies. 2022;2022(1):9601630.
  13. Schuller B, Rigoll G, Lang M. Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture. In2004 IEEE international conference on acoustics, speech, and signal processing 2004 May 17 (Vol. 1, pp. I-577). IEEE.
  14. Saxena A, Khanna A, Gupta D. Emotion recognition and detection methods: A comprehensive survey. Journal of Artificial Intelligence and Systems. 2020 Feb 7;2(1):53-79.
Regular Issue Subscription Review Article
Volume 02
Issue 01
Received 04/11/2024
Accepted 20/12/2024
Published 07/01/2025
Total Visits: 146


Loading citations…

PlumX Metrics