Journal of Advanced Technology Convergence (미래기술융합논문지)

Korea Convergence Society (한국융합학회)
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Development and Efficacy Validation of an ICF-Based Chatbot System to Enhance Community Participation of Elderly Individuals with Mild Dementia in South Korea

우리나라 경도 치매 노인의 지역사회 참여 증진을 위한 ICF 기반 Decision Tree for Chatbot 시스템 개발과 효과성 검증

  • Haewon Byeon (Department of AI-Software, Inje University)
  • 변해원 (인제대학교 AI소프트웨어학과)
  • Received : 2024.07.25
  • Accepted : 2024.09.21
  • Published : 2024.09.30
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Abstract

This study focuses on the development and evaluation of a chatbot system based on the International Classification of Functioning, Disability, and Health (ICF) framework to enhance community participation among elderly individuals with mild dementia in South Korea. The study involved 12 elderly participants who were living alone and had been diagnosed with mild dementia, along with 15 caregivers who were actively involved in their daily care. The development process included a comprehensive needs assessment, system design, content creation, natural language processing using Transformer Attention Algorithm, and usability testing. The chatbot is designed to offer personalized activity recommendations, reminders, and information that support physical, social, and cognitive engagement. Usability testing revealed high levels of user satisfaction and perceived usefulness, with significant improvements in community activities and social interactions. Quantitative analysis showed a 92% increase in weekly community activities and an 84% increase in social interactions. Qualitative feedback highlighted the chatbot's user-friendly interface, relevance of suggested activities, and its role in reducing caregiver burden. The study demonstrates that an ICF-based chatbot system can effectively promote community participation and improve the quality of life for elderly individuals with mild dementia. Future research should focus on refining the system and evaluating its long-term impact.

본 연구는 우리나라 경도 치매 노인의 지역사회 참여 증진을 위해 국제 기능, 장애 및 건강 분류(ICF) 기반의 챗봇 시스템을 개발하고 평가하였다. 대상자는 경도 치매 진단을 받고 독거 생활을 하는 노인 12명과 가족 돌봄 제공자 15명을 선정하였다. ICF기반 챗봇 시스템의 개발과정은 포괄적인 요구 평가, 시스템 설계, 콘텐츠 생성, 트랜스포머 어텐션 알고리즘을 사용한 자연어 처리 및 사용성 테스트를 포함하였다. ICF기반 챗봇은 개인 맞춤형 활동 추천, 알림 및 신체적, 사회적, 인지적 참여를 지원하는 정보를 제공하도록 설계되었다. 본 연구에서 사용성 테스트 결과 사용자 만족도와 유용성 인식이 높았으며, 지역사회 활동 및 사회적 상호작용에서 유의미한 개선이 확인되었다. 정량 분석 결과, 주간 지역사회 활동이 92% 증가하고 사회적 상호작용이 84% 증가하였다. 정성적 분석(심층 인터뷰)에서는 챗봇의 사용자 친화적 인터페이스, 제안된 활동의 적절성, 그리고 돌봄 제공자의 부담을 줄이는 역할이 강조되었다. 본 연구는 ICF 기반 챗봇 시스템이 경도 치매 노인의 지역사회 참여를 효과적으로 촉진하고 삶의 질을 향상시킬 수 있음을 시사한다.

Keywords

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