Skip to main content
SpringerLink
Log in

Toward Sentiment Analysis in Elderly Care Facility

  • Conference paper
  • First Online:
New Frontiers in Artificial Intelligence (JSAI-isAI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10247))

Included in the following conference series:

  • 1133 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. White Paper in 2015, Cabinet Office, Government of Japan (in Japanese). http://www8.cao.go.jp/kourei/whitepaper/w-2015/html/zenbun/index.html

  2. Ministry of Health, Labor and Welfare (in Japanese) http://www.mhlw.go.jp/topics/kaigo/osirase/jigyo/13/

  3. The Care Work Foundation report 2014 (in Japanese). http://www.kaigo-center.or.jp/report/h26_chousa_01.html

  4. Fukuhara, T., Nakajima, M., Miwa, H., Hamasaki, M., Nishimura, T.: Design and implementation of a handover support system based on information recommendation in nursing homes. Trans. Jpn. Soc. Artif. Intell. 28(6), 468–479 (2013)

    Article  Google Scholar 

  5. Nakajima, M., Fukuhara, T., Nishimura, T., Akamatu, M.: Handing-over at a nursing-care facility using mobile device. J. Mob. Interact. 3(2), 47–55 (2013)

    Google Scholar 

  6. Fukuda, K., Hamasaki, M., Fukuhara, T., Fujii, R., Horita, M., Nishimura, T.: Preliminary result of hand-over text mining in care facilities. In: IEICE-NLC2014-20, vol. IEICE-114, no. 211, pp. 11–16 (2014)

    Google Scholar 

  7. Fukuda, K., Watanabe, K., Fukuhara, T., Hamasaki, M., Fujii, R., Horita, M., Nishimura, T.: Text-mining of hand-over notes for care-workers in real operation. In: Meiselwitz, G. (ed.) SCSM 2015. LNCS, vol. 9182, pp. 30–38. Springer, Cham (2015). doi:10.1007/978-3-319-20367-6_4

    Chapter  Google Scholar 

  8. Higuchi, K.: Sociological theory and methods. Jpn. Assoc. Math. Sociol. 19(1), 101–115 (2004)

    Google Scholar 

  9. Nakajima, M., Fukuhara, T., Miwa, H., Nishimura, T.: Development of a supporting system for handing-over at nursing-care facilities. J. Mob. Interact. 2, 39–48 (2012)

    Google Scholar 

  10. Kishida, K., Chen, K., Lee, S., Kuriyama, K., Kando, N., Chen, H.-H.: Overview of CLIR task at the sixth NTCIR workshop. In: Proceedings of NTCIR-6 Workshop Meeting, Tokyo, Japan, 15–18 May 2007

    Google Scholar 

Download references

Acknowledgment

This study was partly conducted under the support of “Fundamental Research For Human Centered Service Engineering”, the development and demonstration testing of next-generation, highly reliable, energy-saving core IT technologies (Service Engineering R & D field) a commissioned project for FY 2011 by the Ministry of Economy, Trade and Industry (METI) of Japan, the “Project to Promote the Development and Introduction of Robotic Devices for Nursing Care” by METI, and Grants-in-Aid for Scientific Research (Subject number: 24500676). This study was partly supported by Japanese METI’s Robotic Care Equipment Development and Introduction Project,NEDO’s Artificial Intelligence Research Project. The authors extend their gratitude to Long-Term Care Health Facility Wakoen of Social Medical Care Corporation Tosenkai for cooperation in development and evaluation of the system.

Author information

Authors and Affiliations

  1. AI Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, Japan

    Ken Fukuda, Satoshi Nishimura, Huizhi Liang & Takuichi Nishimura

Authors
  1. Ken Fukuda
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Satoshi Nishimura
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Huizhi Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Takuichi Nishimura
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ken Fukuda .

Editor information

Editors and Affiliations

  1. Graduate School of Business Sciences, University of Tsukuba, Tokyo, Japan

    Setsuya Kurahashi

  2. Fujitsu Laboratories Ltd., Kanagawa, Japan

    Yuiko Ohta

  3. Chiba University, Chiba, Japan

    Sachiyo Arai

  4. National Institute of Informatics, Tokyo, Japan

    Ken Satoh

  5. Ochanomizu University, Tokyo, Japan

    Daisuke Bekki

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Fukuda, K., Nishimura, S., Liang, H., Nishimura, T. (2017). Toward Sentiment Analysis in Elderly Care Facility. In: Kurahashi, S., Ohta, Y., Arai, S., Satoh, K., Bekki, D. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2016. Lecture Notes in Computer Science(), vol 10247. Springer, Cham. https://doi.org/10.1007/978-3-319-61572-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-61572-1_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61571-4

  • Online ISBN: 978-3-319-61572-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation