AI-Assisted Counselling: A New Frontier in Psychology

  • Authors

    • Dr. Chen Wei Professor, Peking University, China. Author
    • Dr. Liu Fang Associate Professor, Tsinghua University, China. Author

    DOI:

    https://doi.org/10.67228/30715636/IJETMR-2022PI7K1X

    Published 02-04-2022

  • Artificial Intelligence, AI-Assisted Counselling, Mental Health Technology, Natural Language Processing, Psychological Therapy, Machine Learning, Digital Psychology, Human-Ai Interaction, Emotional Recognition

    Issue

    Vol. 5 No. 1 (2022)

    Section

    Articles

    How to Cite

    [1]
    C. Wei and L. Fang, “AI-Assisted Counselling: A New Frontier in Psychology”, IJETMR, vol. 5, no. 1, pp. 01–15, Feb. 2022, doi: 10.67228/30715636/IJETMR-2022PI7K1X.

  • Abstract

    Artificial Intelligence (AI) has become a disruptive technology across industries such as healthcare, education, and finance. In psychology and mental health services, AI-assisted counselling systems are emerging to address the growing number of patients and the shortage of certified practitioners. These systems use technologies like machine learning, natural language processing (NLP), sentiment analysis, and predictive analytics to support mental health professionals and provide scalable psychological care. This study examines AI-assisted counselling as an innovative approach in psychology, focusing on its technological framework, benefits, ethical concerns, and user adoption. The proposed system integrates psychological assessment tools, conversational AI, and feedback-based learning mechanisms. System performance is evaluated using metrics such as emotional recognition accuracy, user engagement, and treatment outcome improvements through a mixed-method approach combining experimental analysis and user perception studies. The findings indicate that AI-powered counselling can improve access to mental health support, enable early detection of emotional distress, and enhance therapeutic services. However, challenges related to data privacy, ethical considerations, emotional authenticity, and clinical reliability remain important areas for further research. The study concludes that AI should complement rather than replace human therapists, supporting a collaborative human–AI approach to improve mental healthcare accessibility and effectiveness.

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