STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Web Engineering & Technology

Leveraging Emotional Intelligence Based Computer Applications to Analyze Psychological Mitigate Suicidal Ideation in Society

  1. Nidhi Singh Chauhan
  2. Hema Thakur
  3. Sanjay Vishwakarma

Abstract

The increasing incidence of suicidal ideation is a significant societal concern that requires novel, multifaceted approaches for effective mitigation. This research delves into the promising potential of Emotional Intelligence (EI) based computer applications as tools for the detection, analysis, and mitigation of psychological suicidal ideation within our society. The crux of this study lies at the intersection of Emotional Intelligence and Artificial Intelligence (AI), where AI techniques are enriched with EI principles to yield computer applications capable of identifying, understanding, and effectively responding to the emotional states of individuals. Harnessing advanced technologies such as Natural Language Processing, Machine Learning, and Sentiment Analysis, these applications can identify nuanced signs of distress and suicidal ideation in users' digital communication, enabling prompt intervention. The paper provides an extensive review of EI and its critical role in discerning and managing emotions, setting the stage for its applicability in AI systems. The possible advantages and challenges of fusing EI with AI to tackle mental health crises, such as suicidal ideation, are comprehensively discussed, underscoring the necessity of an ethically sound and sensitive approach. Further, the study provides an insightful exploration into the methods for creating these applications and evaluates existing applications, considering their real-world effectiveness. Paramount to this discussion is a deep dive into the ethical and privacy considerations surrounding the handling of sensitive mental health data. In conclusion, the societal impacts of EI-based computer applications are examined, specifically their potential to complement existing mental health services and revolutionize mental health care. Through this research, we aim to encourage ongoing innovation and refinement in the development of EI-based AI applications, ultimately contributing to more effective, scalable, and personalized mental health care solutions.

Keywords

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