A Study on Strategies for Improving the Emotions of Depression Patients Based on Human-Computer Interaction Intervention Processes

Abstract

Depression is widely recognized as a leading contributor to disability and reduced quality of life, placing an immense burden on individuals, families, and health systems worldwide. While pharmacological and psychotherapeutic interventions remain the mainstay of treatment, they are often constrained by limited accessibility, stigma, and resource shortages, underscoring the urgent need for complementary approaches. Advances in Human-Computer Interaction (HCI) provide new opportunities to address the barriers associated with traditional mental health care, offering scalable, personalized, and adaptive solutions for emotion regulation and treatment support. This review synthesizes research on HCI-based strategies for improving emotional states in depression patients, drawing on evidence from psychological science, software engineering, and digital health. By analyzing the design, adaptability, and personalization of interactive systems, this study highlights the core strategies, challenges, and future directions for the integration of HCI into clinical and non-clinical depression interventions. Ultimately, such innovations may support a more inclusive, technology-enhanced model of care that complements existing therapies and improves long-term outcomes.