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Absorbability, applicability and availability in nursing and care robots: A thematic analysis of Twitter postings
University of Gävle, Faculty of Health and Occupational Studies, Department of Health and Caring Sciences, Caring science.ORCID iD: 0000-0002-2610-8998
Department of Nursing and Care, The Swedish Red Cross University College, Stockholm, Sweden.
2018 (English)In: Telematics and informatics, ISSN 0736-5853, E-ISSN 1879-324X, Vol. 35, p. 1553-1560Article in journal (Refereed) Published
Abstract [en]

Nursing and care robots (NCR) have become an important technological innovation in various areas in the medical discipline. Previous studies have found that implementation of robots in healthcare is both associated with positive and negative attitudes. This study aims to improve the understanding of the general public's communication about nursing and care robots through analyzing the content of posts in social media. An advanced social intelligence platform was used to mine Twitter content. From the platform, data were collected historically. An archival and cross-sectional observational study was conducted online. The data set comprising of 5954 tweets were thematically analyzed. Tweets under the theme of absorbability show that nursing and care robots are considered to be a part of users’ lives, either now or sometime in the future for Twitter users, and the topic is tackled as a fact but with humor, skepticism and enthusiasm. Tweets falling under applicability show that potential nursing and care robots usage covers a range of arenas in everyday life. Results thematized as availability show sincere concern about how the accessibility of nursing and care robots in everyday life will affect costs and other economic aspects, both on a global and an individual level as well as on micro and macro levels of economies. Twitter offers a window into attitudes and ideas as well as fundamental beliefs and practices. Thus, monitoring Twitter discussions on social media can provide valuable insights into current attitudes as well as forecasting coming trends. The data includes information about Twitter users’ anxious relationships with nursing and care robots. We raise important questions about the nature of nursing and care robots and their implementations, both in health care but also in everyday living.

Place, publisher, year, edition, pages
Elsevier Ltd , 2018. Vol. 35, p. 1553-1560
Keywords [en]
Internet, Nursing robots, Robotics, Service robot, Social robot, Technology, Twitter, Nursing, Social networking (online), Technological forecasting, Medical disciplines, Micro and macro levels, Observational study, Service robots, Social intelligence, Social robots, Technological innovation, Robots
National Category
Other Medical Sciences
Identifiers
URN: urn:nbn:se:hig:diva-26740DOI: 10.1016/j.tele.2018.04.001Scopus ID: 2-s2.0-85045217370OAI: oai:DiVA.org:hig-26740DiVA, id: diva2:1213094
Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2018-06-04Bibliographically approved

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Salzmann-Erikson, Martin

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