Integrating AI Chatbots and Wearable Technology for Workplace Mental Health: A Qualitative Study on Reducing Stigma and Preventing Burnout
Keywords:
AI chatbots, wearable technology, workplace mental health, stigma reduction, burnout preventionAbstract
The integration of artificial intelligence (AI) chatbots and wearable technology presents a
transformative approach to workplace mental health management. This qualitative study examined
the effectiveness of combined AI-powered conversational agents and wearable stress-monitoring
devices in reducing mental health stigma and preventing employee burnout across diverse
organizational settings. The research methodology employed a mixed-methods approach,
incorporating semi-structured interviews with 282 participants from technology, healthcare, and
finance sectors, alongside real-time physiological data collection through wearable devices
measuring heart rate variability, electrodermal activity, and sleep patterns. Key objectives focused
on assessing stigma reduction mechanisms, evaluating burnout prevention efficacy, and
identifying implementation barriers. Three primary hypotheses were tested regarding user
acceptance, stress detection accuracy, and intervention effectiveness. Results demonstrated
significant improvements in mental health disclosure comfort (62% increase), reduced burnout
symptoms (48% decrease in emotional exhaustion), and enhanced early intervention capabilities
through continuous monitoring. Wearable technology achieved 79% accuracy in stress detection,
while AI chatbots showed 74% user engagement rates. The integrated approach effectively bridged
accessibility gaps in mental healthcare, providing 24/7 support while maintaining user anonymity.
These findings suggest that technology-mediated interventions can substantially transform workplace mental health paradigms, offering scalable solutions for organizational wellness
programs while addressing persistent stigma barriers.