Interactive robots for health in Europe: Technology readiness and adoption potential

Front Public Health. 2023 Mar 13:11:979225. doi: 10.3389/fpubh.2023.979225. eCollection 2023.

Abstract

Introduction: Social robots are accompanied by high expectations of what they can bring to society and in the healthcare sector. So far, promising assumptions have been presented about how and where social robots are most relevant. We know that the industry has used robots for a long time, but what about social uptake outside industry, specifically, in the healthcare sector? This study discusses what trends are discernible, to better understand the gap between technology readiness and adoption of interactive robots in the welfare and health sectors in Europe.

Methods: An assessment of interactive robot applications at the upper levels of the Technology Readiness Level scale is combined with an assessment of adoption potential based on Rogers' theory of diffusion of innovation. Most robot solutions are dedicated to individual rehabilitation or frailty and stress. Fewer solutions are developed for managing welfare services or public healthcare.

Results: The results show that while robots are ready from the technological point of view, most of the applications had a low score for demand according to the stakeholders.

Discussion: To enhance social uptake, a more initiated discussion, and more studies on the connections between technology readiness and adoption and use are suggested. Applications being available to users does not mean they have an advantage over previous solutions. Acceptance of robots is also heavily dependent on the impact of regulations as part of the welfare and healthcare sectors in Europe.

Keywords: educational robots; healthcare robots; interactive robots; social robots; technology readiness.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Europe
  • Robotics* / methods
  • Technology

Grants and funding

This work has been partially funded by the INBOTS CSA of the European Union's Horizon 2020 research and innovation programme under grant agreement no. 780073.