AI-Assisted Stress Management: Efficacy Compared to Traditional Methods

As the demand for accessible mental health interventions grows, AI-driven therapy offers a promising solution, particularly for stress management. This study investigates the potential of AI-driven therapy to improve emotional clarity and reduce the stigma associated with seeking mental health support. Drawing on Cognitive Behavioral Therapy (CBT), which links thoughts, emotions, and behaviors, the research investigates how AI therapists may impact emotional and behavioral outcomes. Using a three-group experimental design, the study compares the effects of AI therapists, journaling, and human therapists on stress management. The study aims to provide insights into AI’s role in stress reduction, emotional processing, and lowering barriers to therapy. By evaluating both traditional and AI-supported mental health interventions, this research contributes to the understanding of AI’s potential in the future of mental health care delivery.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-08-15
Primary Topic
Plant Diversity and Evolution
Type
article
Field-Weighted Citation Impact
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article

AI-Assisted Stress Management: Efficacy Compared to Traditional Methods

Journal of the Association for Information Systems
Plant Diversity and Evolution
article

AI-Assisted Stress Management: Efficacy Compared to Traditional Methods

article en

Abstract

As the demand for accessible mental health interventions grows, AI-driven therapy offers a promising solution, particularly for stress management. This study investigates the potential of AI-driven therapy to improve emotional clarity and reduce the stigma associated with seeking mental health support. Drawing on Cognitive Behavioral Therapy (CBT), which links thoughts, emotions, and behaviors, the research investigates how AI therapists may impact emotional and behavioral outcomes. Using a three-group experimental design, the study compares the effects of AI therapists, journaling, and human therapists on stress management. The study aims to provide insights into AI’s role in stress reduction, emotional processing, and lowering barriers to therapy. By evaluating both traditional and AI-supported mental health interventions, this research contributes to the understanding of AI’s potential in the future of mental health care delivery.

Journal of the Association for Information Systems
Openalex Percentile: Top 41%
Plant Diversity and Evolution
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