3.8 Proceedings Paper

Toward Sentiment Analysis in Elderly Care Facility

Journal

NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE
Volume 10247, Issue -, Pages 143-154

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-319-61572-1_10

Keywords

Information share; Elderly care; Text mining; Sentiment analysis

Funding

  1. Ministry of Economy, Trade and Industry (METI) of Japan
  2. Japanese METI's Robotic Care Equipment Development and Introduction Project
  3. NEDO's Artificial Intelligence Research Project
  4. METI
  5. [24500676]

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Hand-over notes are extremely important to share information about irregular incidents at elderly care facilities and provide high-quality services. However, taking notes is a time-consuming task. Moreover, handwritten hand-over notes make it difficult to pass on experience and related know-how to other workers. To curate that field community intelligence, a handover support system for elderly care facilities was installed into a facility and evaluated. The system is now in actual operation at the care facility. The authors aim to use handover support system as a communication tool that sense the feelings of the care workers and supports them to maintain motivation and cultivate self-directedness. To realize this aim, this paper reports the results of hand-over data analysis and comparison with traditional paper-based hand-over notes. Furthermore, the authors explored the possibility of applying sentiment analysis technology to hand-over messages to sense the atmosphere of their working environment.

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