Artificial Intelligence-Based Counseling for Improving Self-Understanding Through Self Diagnose of Generation Z

Abstract

This research is motivated by an increase in adolescents who self-diagnose and have a negative impact on their mental health. Self-diagnosis of mental health can cause problems such as reading the wrong diagnosis, mishandling, undetected disorders, and misperceptions of mental illness. This study aims to discover how AI-based counseling improves self-understanding through self-diagnosis of Generation Z. This study uses a descriptive qualitative research method with five high school adolescents as subjects who have self-diagnosed their health or mental health to help improve their understanding of self-diagnosis. Implementation of this research using purposive sampling technique in taking research samples. Based on the results of the study, it shows that 1) some adolescents who carry out self-diagnosis feel that their mental health is disturbed as the consequence hinders daily life, 2) they experience excessive anxiety when carrying out an activity and often feel afraid when the self-diagnosis they made become a reality, and 3) feel pressured that the results of the diagnosis are not necessarily correct, but the mental disorders they feel as a result of self-diagnosis cannot be avoided. This research also shows that, in dealing with such phenomenon of self-diagnosis, Generation Z youth need to develop critical skills in evaluating the information they find online. Utilizing AI in counseling can help increase self-understanding about self-diagnosis and adolescent mental health.