Earticle

초록

영어

Depression is a major mental health issue affecting over 280 million people worldwide. It is characterized not only by a depressed mood and loss of interest but also by cognitive decline, sleep disturbances, and social isolation, which significantly impair an individual's daily functioning and quality of life. In particular, pharmacotherapy has limitations, including side effects of antidepressants, the burden of long-term use, and low adherence rates. Furthermore, economic costs and the social stigma associated with mental illness act as barriers to treatment accessibility. Consequently, there is a growing demand for new forms of non-pharmacological and digital-based interventions that can complement existing medication-centered treatments. To overcome these limitations and provide a more personalized therapeutic experience, this study implemented personalized digital therapeutic content that combines MBTI personality types and music therapy elements within a Virtual Reality (VR) environment. The proposed content consists of music recommendations based on user traits and VR scenarios utilizing natural landscapes of the four seasons; it allows for progressive personalization by reflecting user interaction data. The music therapy elements utilize emotional stimuli preferred by each personality type to induce emotional stability and mood improvement, while the nature-based VR environment promotes psychological relaxation and stress reduction through high immersion. The system developed in this study operates on standalone VR hardware and implements content comprising four natural environments—spring, summer, autumn, and winter—and music tracks tailored to MBTI types within a single integrated platform. Through this, users can simultaneously experience music and visual stimuli suited to their dispositions, leading to expected positive effects such as emotional regulation, stress alleviation, and psychological stability.

목차

Abstract
1. INTRODUCTION
2. System Architecture
2.1 MBTI-based Music Therapy Module
2.2 MBTI Personality Type Classification System
2.3 VR-based Four-Season Natural Environment Module
2.4 User Interface
3. Implementation of VR Digital Therapeutic Content for Depression
4. Conclusion
ACKNOWLEDGEMENT
REFERENCES

키워드

저자

• Kyu-Ha Kim [ Assistant Prof., Dept. of Computer Engineering, Honam Univ., Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Culture Technology(IJACT)

• 간기

  계간

• pISSN

  2288-7202

• eISSN

  2288-7318

• 수록기간

  2013~2025

• 등재여부

  KCI 등재

• 십진분류

  KDC 600 DDC 700