Pilot and Feasibility Study on Elderly Support Services Using Communicative Robots and Monitoring Sensors Integrated With Cloud Robotics

• Published in: Clinical therapeutics Vol. 42; no. 2; pp. 364 - 371.e4
• Main Authors: Obayashi, Kazuko, Masuyama, Shigeru
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-02-2020; Elsevier Limited
• Subjects: activities of daily living; Caregivers; Cloud computing; cloud robotics; communicative robot; Dementia; elderly care; Fatigue; Feasibility studies; Monitoring systems; Night shifts; Nursing care; Nursing homes; Older people; Patients; Quality of life; Robot sensors; Robotics; robotics utilization; Robots; Sensors; Shift work; Support services; Verbal communication; Vocalization behavior; Workers; Japan; activities of daily living; communicative robot; elderly care; support services; cloud robotics; robotics utilization
• ISSN: 0149-2918; 1879-114X
• DOI: 10.1016/j.clinthera.2020.01.001

This pilot before-after study investigated the possible effects of communicative robots, used with a sensing system supported by cloud robotics, in caring for elderly people.
Two elderly women in nursing homes and 4 care workers participated in the trial. The overnight life rhythm assessments of the study participants and care workers were surveyed to determine when and how the robots should be integrated into care. The system consisted of the robot Sota, a noncontact vital sensor and a sheet-shaped bed sensor. Real-time sensing data and conversations between the participants and robots were sent to the servers, prompting a quick verbal response by the robot supported by cloud robotics.
Care workers devoted 3 h to the maintenance of records during their most stressful periods. Automatic recording of vital information using robot sensors can improve the quality of nursing care work. Care workers' stress levels were maximized when responding to nurse calls. Temporary responses to nurse calls by the robots may help to effectively reduce the burden on nursing care workers. Robots can stimulate elderly people to communicate more with others (P < 0.05). Appropriate vocalization by communicative robots may prevent the deterioration of quality of life in elderly individuals.
Communicative robots, used with a sensing system, may stimulate elderly people to activate a communication link with others and help care workers to effectively reduce the burden during the night shift. A follow-up study involving a broader research program on communicative robots and elderly care would be beneficial.