Managing changes in the environment of human–robot interaction and welfare services

Outi Tuisku, Satu Parjanen (), Mirva Hyypiä and Satu Pekkarinen
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Outi Tuisku: Tampere University of Applied Sciences
Satu Parjanen: Lappeenranta-Lahti University of Technology LUT
Mirva Hyypiä: Lappeenranta-Lahti University of Technology LUT
Satu Pekkarinen: Lappeenranta-Lahti University of Technology LUT

Information Technology and Management, 2024, vol. 25, issue 1, No 1, 18 pages

Abstract: Abstract The purpose of this study was to investigate decision-makers’ views on changes that robotics will create in welfare services. The purpose was also to discover what the opportunities and challenges are in human–robot interaction during these changes and how to manage these changes. As a research method, an online survey was used. The survey was sent to Finnish decision-makers (N = 184). They were divided into three groups: Techno-positive (n = 66), Techno-neutral (n = 47), and Techno-critical (n = 71). According to the results, more than 80% of the respondents saw that robots can offer support in existing work tasks, and more than 70% saw that the robots can do existing tasks. The most often mentioned challenges were the reduction of interaction and the reduction of human touch. Further, there are various knowledge needs among the respondents. Most of the knowledge needs were not based on the technical use of the robots; rather, they were quite scattered. The results suggest that successful use and implementation of robots in welfare services require a comprehensive plan and change agents. This study suggests that techno-positive people could act as change agents, assisting in implementing the changes. In addition, to manage change in the welfare services it is essential to improve the quality of the information, solve the resistance to change, create organizational awareness, and understanding, and establish a psychological commitment to change the processes.

Keywords: Service robot; Change management; Welfare services; Human–computer interaction; Human–robot interaction (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10799-023-00393-z

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