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framework. Advanced Robotics, 32(22), 1207–1216. https://doi.org/10.1080/01691864.2018.
1528176
Obayashi, K., & Masuyama, S. (2018). The effects of introducing communicative robots with infrared radiation monitoring system on night shift duties of nursing facility care worker. Journal of
the Robotics Society of Japan (JRSJ), 36(8), 537–542. https://doi.org/10.7210/jrsj.36.537.
(in Japanese).
Obayashi, K., Masuyama, S., Kojima, K., & Takahashi, R. (2018). A feasibility study of introduction of communication robots and monitoring sensors to the elderly nursing home. Japanese
Journal of Telemedicine and Telecare, 14(1), 6–11. (in Japanese).
Ohkawa, Y. (2017). Large-scale demonstration experiment report concerning the use of communication robots in the caregiving field 31 May 2017. Retrieved from http://robotcare.jp/wpcontent/uploads/2017/07/communi_robo_veri_test_report.pdf (in Japanese).
Sakamoto, Y., & Sakata, N. (2018). A pilot study of medical English language learning materials
using virtual reality and a communication robot. Journal of Medical English Education, 17(3),
117–120.
Sakata, N. (2017). Future prospects for communication technology: Utilization of new technologies
such as robots, AI, IoT, and VR and AR. In: Japanese Telemedicine and Telecare Association
(Ed.), Illustrated explanation, Telemedicine in Japan 5-3 (pp. 70–71). (in Japanese).
Sakata, N. (2019). Utilization and development of robotics in the medical and nursing fields. The
Journal of CIEC Computer & Education, 46, 21–29. (in Japanese).
Sandfort, J. R. (2009). Human service organizational technology: Improving understanding and
advancing research. In Y. Hasenfeld (Ed.), Human services as complex organizations (2nd ed.,
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Sekiguchi, S. (2015). The current status of robots in rehabilitation: (3) challenges in the popularization of caregiving robots. The Japanese Journal of Physical Therapy, 49(10), 943–950.
https://doi.org/10.11477/mf.1551200357. (in Japanese).
Senechal, T., McDuff, D., & Kaliouby, Re.. (2015). Facial action unit detection using active
learning and an efficient non-linear kernel approximation. Proceedings of the 2015 IEEE
international conference on computer vision workshop. IEEE Computer Society, Washington,
DC, 10–18.
Shibata, T. (2017). Development and spread of therapeutic medical robot, PARO: Innovation of
non-pharmacological therapy for dementia and mental health. Journal of Information
Processing and Management, 60(4), 217–228. https://doi.org/10.1241/johokanri.60.217.
(in Japanese).
Shibata, T., & Wada, K. (2011). Introduction of field test on robot therapy by seal robot, PARO.
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(in Japanese).
Smith, B. D. (2009). Service technologies and the conditions of work in child welfare. In
Y. Hasenfeld (Ed.), Human services as complex organizations (English edition) (2nd ed.,
pp. 430–457). Thousand Oaks, CA: SAGE Publications.
Takahashi, M., Ito, Y., & Kawaguchi, T. (2019). Analytical methods for understanding disease
condition using information from face for telemedicine/telenursing: A survey of literature.
Journal of Tokyo University of Information Science, 22(2), 133–140. (in Japanese).
Takahashi, N. (2002). A time sequential analysis of facial expressions using FACS and its
perspectives: Taking an analysis of facial expressions of anger and disgust. Japanese Journal
of Interpersonal and Social Psychology, 2, 75–82. (in Japanese).
Information Technology/Artificial Intelligence Innovations Needed for Better. . .
57
the Japanese Psychological Association, 78, 921.
National Institute of Population and Social Security Research. (2015). 2015 Social security cost
statistics. Retrieved from http://www.ipss.go.jp/ss-cost/j/fsss-h27/fsss_h27.asp (in Japanese).
Obayashi, K., Kodate, N., & Masuyama, S. (2018). Enhancing older people’s activity and participation with socially assistive robots: A multicentre quasi-experimental study using the ICF
framework. Advanced Robotics, 32(22), 1207–1216. https://doi.org/10.1080/01691864.2018.
1528176
Obayashi, K., & Masuyama, S. (2018). The effects of introducing communicative robots with infrared radiation monitoring system on night shift duties of nursing facility care worker. Journal of
the Robotics Society of Japan (JRSJ), 36(8), 537–542. https://doi.org/10.7210/jrsj.36.537.
(in Japanese).
Obayashi, K., Masuyama, S., Kojima, K., & Takahashi, R. (2018). A feasibility study of introduction of communication robots and monitoring sensors to the elderly nursing home. Japanese
Journal of Telemedicine and Telecare, 14(1), 6–11. (in Japanese).
Ohkawa, Y. (2017). Large-scale demonstration experiment report concerning the use of communication robots in the caregiving field 31 May 2017. Retrieved from http://robotcare.jp/wpcontent/uploads/2017/07/communi_robo_veri_test_report.pdf (in Japanese).
Sakamoto, Y., & Sakata, N. (2018). A pilot study of medical English language learning materials
using virtual reality and a communication robot. Journal of Medical English Education, 17(3),
117–120.
Sakata, N. (2017). Future prospects for communication technology: Utilization of new technologies
such as robots, AI, IoT, and VR and AR. In: Japanese Telemedicine and Telecare Association
(Ed.), Illustrated explanation, Telemedicine in Japan 5-3 (pp. 70–71). (in Japanese).
Sakata, N. (2019). Utilization and development of robotics in the medical and nursing fields. The
Journal of CIEC Computer & Education, 46, 21–29. (in Japanese).
Sandfort, J. R. (2009). Human service organizational technology: Improving understanding and
advancing research. In Y. Hasenfeld (Ed.), Human services as complex organizations (2nd ed.,
pp. 458–490). Thousand Oaks, CA: Sage Publications.
Sekiguchi, S. (2015). The current status of robots in rehabilitation: (3) challenges in the popularization of caregiving robots. The Japanese Journal of Physical Therapy, 49(10), 943–950.
https://doi.org/10.11477/mf.1551200357. (in Japanese).
Senechal, T., McDuff, D., & Kaliouby, Re.. (2015). Facial action unit detection using active
learning and an efficient non-linear kernel approximation. Proceedings of the 2015 IEEE
international conference on computer vision workshop. IEEE Computer Society, Washington,
DC, 10–18.
Shibata, T. (2017). Development and spread of therapeutic medical robot, PARO: Innovation of
non-pharmacological therapy for dementia and mental health. Journal of Information
Processing and Management, 60(4), 217–228. https://doi.org/10.1241/johokanri.60.217.
(in Japanese).
Shibata, T., & Wada, K. (2011). Introduction of field test on robot therapy by seal robot, PARO.
Journal of the Robotics Society of Japan, 29(3), 246–249. https://doi.org/10.7210/jrsj.29.246.
(in Japanese).
Smith, B. D. (2009). Service technologies and the conditions of work in child welfare. In
Y. Hasenfeld (Ed.), Human services as complex organizations (English edition) (2nd ed.,
pp. 430–457). Thousand Oaks, CA: SAGE Publications.
Takahashi, M., Ito, Y., & Kawaguchi, T. (2019). Analytical methods for understanding disease
condition using information from face for telemedicine/telenursing: A survey of literature.
Journal of Tokyo University of Information Science, 22(2), 133–140. (in Japanese).
Takahashi, N. (2002). A time sequential analysis of facial expressions using FACS and its
perspectives: Taking an analysis of facial expressions of anger and disgust. Japanese Journal
of Interpersonal and Social Psychology, 2, 75–82. (in Japanese).
Information Technology/Artificial Intelligence Innovations Needed for Better. . .
57