論文

査読有り
2022年5月18日

Assisting Personalized Healthcare of Elderly People: Developing a Rule-Based Virtual Caregiver System Using Mobile Chatbot

Sensors
  • Chisaki Miura
  • ,
  • Sinan Chen
  • ,
  • Sachio Saiki
  • ,
  • Masahide Nakamura
  • ,
  • Kiyoshi Yasuda

22
10
開始ページ
3829
終了ページ
3829
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3390/s22103829
出版者・発行元
MDPI AG

To assist personalized healthcare of elderly people, our interest is to develop a virtual caregiver system that retrieves the expression of mental and physical health states through human–computer interaction in the form of dialogue. The purpose of this paper is to implement and evaluate a virtual caregiver system using mobile chatbot. Unlike the conventional health monitoring approach, our key idea is to integrate a rule-based virtual caregiver system (called “Mind Monitoring” service) with the physical, mental, and social questionnaires into the mobile chat application. The elderly person receives one question from the mobile chatbot per day, and answers it by pushing the optional button or using a speech recognition technique. Furthermore, a novel method is implemented to quantify the answers, generate visual graphs, and send the corresponding summaries or advice to the specific elder. In the experimental evaluation, we applied it to eight elderly subjects and 19 younger subjects within 14 months. As main results, its effects were significantly improved by the proposed method, including the above 80% in the response rate, the accurate reflection of their real lives from the responses, and high usefulness of the feedback messages with software quality requirements and evaluation. We also conducted interviews with subjects for health analysis and improvement.

リンク情報
DOI
https://doi.org/10.3390/s22103829
URL
https://www.mdpi.com/1424-8220/22/10/3829/pdf
ID情報
  • DOI : 10.3390/s22103829
  • eISSN : 1424-8220

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