17099-3 Exploring the Effectiveness of Stresslez.id AI Mental Health Support in Reducing Work Stress for Gen Z Workers

Abstract

This study examines the impact of using a mental health artificial intelligence (AI) application, Stresslez.id, on work stress levels among Generation Z employees. The prevalence of occupational stress in this demographic, intensified by high job demands and rapid digitalization, highlights the need for innovative mental health interventions. The main objective was to determine whether the implementation of an AI-based mental health tool could effectively reduce perceived work stress. Employing a pre-experimental design, the research involved 30 Generation Z workers who completed both pre-test and post-test assessments using the Job Stress Scale developed by Shukla & Srivastava. This scale measures five dimensions: time stress, anxiety stress, role expectation conflict, coworker support, and work-life balance. Data were collected through online questionnaires and analyzed using descriptive and inferential statistics with SPSS 26. The findings revealed a significant reduction in work stress following the use of Stresslez.id, with the most substantial decreases observed in the dimensions of role expectation conflict and anxiety stress. These results underscore the potential of digital mental health solutions to improve employee well-being, particularly for younger generations who are highly familiar with technology. The study contributes to the expanding literature on digital interventions for mental health and provides practical insights for organizational human resource management to foster workplace well-being.