Using Artificial Intelligence to Identify Emotional Neglect and Manage Emotional Well-Being: A New Perspective on Enhancing Mental Health

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : | : | Page : –
By
vector

Sneha,

vector

Sangeeta Kakkar,

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

Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_130667’);});Edit Abstract & Keyword

Background: The rising prevalence of mental health issues, coupled with a shortage of qualified professionals, necessitates innovative solutions, especially considering the lasting impact of childhood emotional neglect. Emotional neglect, one of the most profound forms of maltreatment, is a widespread concern that significantly affects an individual’s mental health and overall well-being in the long term. Aim: The purpose of this research article is to explore the capability of artificial intelligence (AI) in enhancing emotional well-being, particularly concerning individuals who experienced emotional neglect as children. Methodology: A comprehensive review incorporated the previous twelve years’ papers on numerous AI technologies, encompassing machine learning, natural language processing (NLP), and facial recognition from Google Scholar, PubMed, and the library. Findings: The results suggest that AI technologies have the potential to effectively identify signs of emotional distress, leading to more accessible, flexible care options and facilitating timely, personalized interventions. These technologies might also help lessen the stigma associated with getting mental health support, making it easier for individuals to get the assistance they need. Conclusion: Regardless of the potential benefits of AI in mental health care, numerous challenges persist, such as ethical concerns, data privacy issues, and the need for human oversight. Implication: The article emphasizes the significance of incorporating AI into mental health to improve outcomes for individuals facing emotional neglect and other mental health challenges while addressing its limitations and moral implications.

Keywords: Artificial intelligence, emotional well-being, emotional neglect, mental health, supportive interventions.

How to cite this article:
Sneha, Sangeeta Kakkar. Using Artificial Intelligence to Identify Emotional Neglect and Manage Emotional Well-Being: A New Perspective on Enhancing Mental Health. International Journal of Behavioral Sciences. 2025; ():-.
How to cite this URL:
Sneha, Sangeeta Kakkar. Using Artificial Intelligence to Identify Emotional Neglect and Manage Emotional Well-Being: A New Perspective on Enhancing Mental Health. International Journal of Behavioral Sciences. 2025; ():-. Available from: https://journals.stmjournals.com/ijbsc/article=2025/view=0

References
document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_130667’);});Edit

  1. Norman RE, Byambaa M, De R, Butchart A, Scott J, Vos T. The long-term health consequences of child physical abuse, emotional abuse, and neglect: a systematic review and meta-analysis. PLoS medicine. 2012 Nov 27;9(11): e1001349.
  2. Ylitervo L, Veijola J, Halt AH. Emotional neglect and parents’ adverse childhood events. European Psychiatry. 2023 Jan;66(1):e47.
  3. Hartanto A, Yong JC, Lee ST, Ng WQ, Tong EM. Putting adversity in perspective: purpose in life moderates the link between childhood emotional abuse and neglect and adulthood depressive symptoms. Journal of mental health. 2020 Jul 3;29(4):473-82.
  4. Dhimolea TK, Kaplan-Rakowski R, Lin L. Supporting social and emotional well-being with artificial intelligence. InBridging human intelligence and artificial intelligence 2022 Feb 24 (pp. 125-138). Cham: Springer International Publishing.
  5. Robinson DL, Robinson DL. Neglect and Emotional Abuse. Pediatric Forensic Evidence: A Guide for Doctors, Lawyers and Other Professionals. 2017:145-59.
  6. Salzmann S, Salzmann-Djufri M, Euteneuer F. Childhood emotional neglect and cardiovascular disease: a narrative review. Frontiers in Cardiovascular Medicine. 2022 Feb 7; 9:815508.
  7. Bowlby J. Attachment and loss: retrospect and prospect. American journal of Orthopsychiatry. 1982 Oct;52(4):664.
  8. Beck AT. The evolution of the cognitive model of depression and its neurobiological correlates. American journal of psychiatry. 2008 Aug;165(8):969-77.
  9. Tanaka M, Wekerle C, Schmuck ML, Paglia-Boak A, MAP Research Team. The linkages among childhood maltreatment, adolescent mental health, and self-compassion in child welfare adolescents. Child abuse & neglect. 2011 Oct 1;35(10):887-98.
  10. Naughton AM, Maguire SA, Mann MK, Lumb RC, Tempest V, Gracias S, Kemp AM. Emotional, behavioral, and developmental features indicative of neglect or emotional abuse in preschool children: a systematic review. JAMA pediatrics. 2013 Aug 1;167(8):769-75.
  11. Buntin MB, Burke MF, Hoaglin MC, Blumenthal D. The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health affairs. 2011 Mar 1;30(3):464-71.
  12. Zhou S, Zhao J, Zhang L. Application of artificial intelligence on psychological interventions and diagnosis: an overview. Frontiers in Psychiatry. 2022 Mar 17; 13:811665.
  13. Meskó B, Drobni Z, Bényei É, Gergely B, Győrffy Z. Digital health is a cultural transformation of traditional healthcare. Mhealth. 2017;3.
  14. Acheampong FA, Wenyu C, Nunoo‐Mensah H. Text‐based emotion detection: Advances, challenges, and opportunities. Engineering Reports. 2020 Jul;2(7): e12189.
  15. 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.
  16. Livingstone SR, Russo FA. The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English. PloS one. 2018 May 16;13(5):e0196391.
  17. Mohr DC, Tomasino KN, Lattie EG, Palac HL, Kwasny MJ, Weingardt K, Karr CJ, Kaiser SM, Rossom RC, Bardsley LR, Caccamo L. IntelliCare: an eclectic, skills-based app suite for the treatment of depression and anxiety. Journal of medical Internet research. 2017 Jan 5;19(1):e10.
  18. Olderbak S, Hildebrandt A, Pinkpank T, Sommer W, Wilhelm O. Psychometric challenges and proposed solutions when scoring facial emotion expression codes. Behavior Research Methods. 2014 Dec; 46:992-1006.
  19. Saeb S, Zhang M, Karr CJ, Schueller SM, Corden ME, Kording KP, Mohr DC. Mobile phone sensor correlates depressive symptom severity in daily-life behavior: an exploratory study. Journal of medical Internet research. 2015 Jul 15;17(7):e4273.
  20. Martinez-Martin N, Kreitmair K. Ethical issues for direct-to-consumer digital psychotherapy apps: addressing accountability, data protection, and consent. JMIR mental health. 2018 Apr 23;5(2): e9423.
  21. Burr C, Morley J. Empowerment or engagement? Digital health technologies for mental healthcare. The 2019 yearbook of the digital ethics lab. 2020:67-88.
  22. Nordling L. A fairer way forward for AI in health care. Nature. 2019 Sep 1;573(7775):S103-.
  23. Luxton DD. Artificial intelligence in psychological practice: Current and future applications and implications. Professional Psychology: Research and Practice. 2014 Oct;45(5):332.
  24. Torous J, Bucci S, Bell IH, Kessing LV, Faurholt‐Jepsen M, Whelan P, Carvalho AF, Keshavan M, Linardon J, Firth J. The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry. 2021 Oct;20(3):318-35.
  25. Fiske A, Henningsen P, Buyx A. Your robot therapist will see you now: ethical implications of embodied artificial intelligence in psychiatry, psychology, and psychotherapy. Journal of medical Internet research. 2019 May 9;21(5): e13216.
  26. Rauschenberg C, Schick A, Hirjak D, Seidler A, Paetzold I, Apfelbacher C, Riedel-Heller SG, Reininghaus U. Evidence synthesis of digital interventions to mitigate the negative impact of the COVID-19 pandemic on public mental health: rapid meta-review. Journal of medical Internet research. 2021 Mar 10;23(3): e23365.
  27. Torous J, Firth J. The digital placebo effect: mobile mental health meets clinical psychiatry. Lancet Psychiatry. 2016 Feb.
  28. Patel V, Saxena S, Lund C, Thornicroft G, Baingana F, Bolton P, Chisholm D, Collins PY, Cooper JL, Eaton J, Herrman H. The Lancet Commission on global mental health and sustainable development. The lancet. 2018 Oct 27;392(10157):1553-98.
Ahead of Print Subscription Review Article
Volume
Received 04/11/2024
Accepted 13/12/2024
Published 02/01/2025
97