Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-61572-1_10 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
Information share,Elderly care,Text mining,Sentiment analysis | Internet privacy,Support system,Sentiment analysis,Computer science,Feeling,Handover | Conference |
Volume | ISSN | Citations |
10247 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ken Fukuda | 1 | 4 | 5.60 |
| Satoshi Nishimura | 2 | 1 | 5.14 |
| Huizhi Liang | 3 | 0 | 0.34 |
| Takuichi Nishimura | 4 | 576 | 65.34 |