The Role of AI Counselling in Journaling for Mental Health Improvement
This research paper investigates the effectiveness of integrating an AI counselling system, utilizing a Large Language Model (LLM), within a journaling application aimed at enhancing mental well-being. Employing a descriptive quantitative methodology, the study examines the subjective experiences of individuals engaging with the application. Through a purposive sampling approach, data was collected from 50 participants, focusing on their perceptions of benefits and challenges associated with the AI counselling system. The analysis reveals significant positive correlations between users' experiences and the app's ability to enhance counselling skills, behaviors, and learning related to mental health topics. Findings indicate that the AI-driven counselling system facilitates deep introspection, empathy, and emotional resilience among users, providing structured support tailored to individual needs. The research underscores the transformative potential of integrating AI counselling within digital platforms to foster mental well-being and recommends further refinement to enhance user experiences.
Authors
- Deepak Jain (ORCID: https://orcid.org/0000-0001-9476-3671)
- Gagandeep Singh (ORCID: https://orcid.org/0000-0003-4628-5163)
- Manik Rakhra (ORCID: https://orcid.org/0000-0003-1680-6992)
- Ramandeep Sandhu
Institutions
- Lovely Professional University (IN)
Publication Details
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1109/iceect61758.2024.10739128
- Citations
- 5
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 3.22