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논문검색

Culture Convergence (CC)

Future Challenges and Perspectives of Digital Dance Interventions for Depression in Older Adults

초록

영어

Depression is a common disorder among the elderly, significantly affecting their quality of life. Traditional dance interventions, although beneficial, have limitations in convenience, personalization, and retention. With the advent of digital technology, digital dance interventions have emerged as a potential solution to these limitations. This paper involves an extensive review of literature on digital dance interventions. Research databases were searched for studies that focus on the use of digital dance in treating depression among older adults. The review also includes analyses of the advancements in digital dance technology, its application in therapeutic settings, and the evaluation of its efficacy. The paper identifies three main challenges in the current digital dance intervention research: real-time dynamic assessment, multimodal dance generation, and improving compliance. Despite these challenges, digital dance interventions show promise in addressing the limitations of traditional dance therapy. The research suggests that the integration of human-computer interaction and personalized approaches in digital dance interventions could significantly improve outcomes in elderly patients with depression. Digital dance interventions represent a novel and promising approach to treating depression in older adults. Future research should focus on overcoming the identified challenges and enhancing the effectiveness of these interventions.

목차

Abstract
1. INTRODUCTION
2. HISTORY OF DIGITAL DANCE
3. FUTURE-ORIENTED FORMS OF DIGITAL DANCE INTERVENTIONS
3.1.Online Dance Intervention
3.2.Mixed Reality Dance Intervention
3.3.Socially Assisted Robotic Dance Intervention
4. PERSPECTIVES ON DIGITAL DANCE INTERVENTIONS
4.1.Real-time dynamic assessment
4.2.Multimodal Dance Generation
4.3.Improving compliance
5. CONCLUSION
REFERENCES

저자정보

  • Zhiting Zhang Ph.D. candidate, Dept. of Dance, Chung-Ang Univ., Korea
  • Qingfeng Zhang Prof., Dept. of Global Convergence, Kangwon National Univ., Korea

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