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Robots today are working in both industrial and service sectors. Robots have evolved from one-function automatons to intelligent systems of versatile features, and the new generation of service robots are sharing same space and tasks with humans. The aim of this systematic literature review was to examine how the social acceptance of robots in different occupational fields has been studied and what kinds of attitudes the studies have discovered regarding robots as workers. The data were collected in October 2016 from four major bibliographic databases. Preliminary search results included 336 research articles from which 42 were selected to the final research through inclusion criteria. Of the studies, 69% concerned robots working in health and social services. Positive attitudes occurred more frequently in studies exposing participants to robots. Robots were considered appropriate for different work tasks. Telepresence robots were highly approved by health care staff. The criticism was directed to decreasing human contact and unnecessary deployment of new technology. Our results imply that attitudes toward robots are positive in many fields of work. Yet there is a need for validated measures and nationally representative data that would help us to further our understanding of social acceptance of robots in work.

In the midst of the anticipation of care robots renewing elderly care, care workers are expected to orient themselves in this future, however uncertain. To examine how uncertainty over the appropriateness of care-robot use associates with robot acceptance, different scenarios of robot assistance were presented to a sample of care professionals in two waves 2016–2020. The views of usefulness of robot assistance yielded underlying structures of plausible and implausible care-robot use. The perceived appropriateness of utilizing robots in care was stronger in the plausible robot scenarios. The uncertainty about robots having an appropriate role in care work correlated negatively with the perceived usefulness of robot assistance, but was even highlighted among the scenarios of implausible tasks. Findings further show how uncertainties about care-robot use have been reduced across four years between data collections. In robotizing care work processes, it may be more beneficial to attempt to convince the care workers who are undecided about robot acceptance than to push care-robot orientation to those who strongly oppose care-robot use.

Robots are increasingly being used to assist with various tasks ranging from industrial manufacturing to welfare services. This study analysed how robot acceptance at work (RAW) varies between individual and national attributes in EU 27. Eurobarometer surveys collected in 2012 ( n  = 26,751) and 2014 ( n  = 27,801) were used as data. Background factors also included country-specific data drawn from the World Bank DataBank. The study is guided by the technology acceptance model and change readiness perspective explaining robot acceptance in terms of individual and cultural attributes. Multilevel studies analysing cultural differences in technological change are exceptionally rare. The multilevel analysis of RAW performed herein accounted for individual and national factors using fixed and random intercepts in a nested data structure. Individual-level factors explained RAW better than national-level factors. Particularly, personal experiences with robots at work or elsewhere were associated with higher acceptance. At a national level, the technology orientation of the country explained RAW better than the relative risk of jobs being automated. Despite the countries’ differences, personal characteristics and experiences with robots are decisive for RAW. Experiences, however, are better enabled in countries open to innovations. The findings are discussed in terms of possible mechanisms through which the technological orientation and social acceptance of robots may be related.

This brief report examines the association between health information literacy and digital self-efficacy (DSE) in patients with multiple sclerosis or epilepsy (pwMS/E). The focus is specifically on critical and risk-conscious aspects of health information literacy. The study used survey data (N = 287) collected from pwMS/E. The analysis comprises a principal component analysis and a regression analysis. In a model controlling age, gender and subjective anxiousness and/or depression, a high level of health information literacy was associated with higher DSE. The model explained over one-third of the variance in DSE. The found association between health information literature and DSE in a Finnish sample of pwMS/E increases the generalizability of the findings of the previous review study. Chronically ill patients with adequate health information literacy are confident in their ability to manage their illness, including on digital platforms.

The aim of this study was to develop and validate a measure of robot use self-efficacy in healthcare work (RUSH) based on social cognitive theory and the theory of planned behavior. This article provides a briefing on technology-specific self-efficacy and discusses the development, validation, and implementation of an instrument that measures care workers’ self-efficacy in working with robots. The validity evaluation of the Finnish-language measure was based on representative survey samples gathered in 2016. The respondents included practical and registered nurses, homecare workers, and physiotherapists. A majority of the respondents were female. The full instrument consists of a set of six task-specific self-efficacy items concerning general views of technological skills, confidence in learning robot use, and confidence in guiding others in robot use. Three items were chosen for the shorter version of the measure. The face validity, construct validity, and reliability were established to validate the instruments. Both 3-item and 6-item measures were found to be highly consistent in structure. Respondents with high levels of RUSH also reported more general self-efficacy and interest in technology, on average. A very brief instrument of three items is convenient to include in repeated employee surveys.

Robots have been slowly but steadily introduced to welfare sectors. Our previous observations based on a large-scale survey study on Finnish elder-care workers in 2016 showed that while robots were perceived to be useful in certain telecare tasks, using robots may also prove to be incompatible with the care workers’ personal values. The current study presents the second wave of the survey data from 2020, with the same respondents (N = 190), and shows how these views have changed for the positive, including higher expectations of telecare robotization and decreased concerns over care robots’ compatibility with personal values. In a longitudinal analysis (Phase 1), the positive change in views toward telecare robots was found to be influenced by the care robots’ higher value compatibility. In an additional cross-sectional analysis (Phase 2), focusing on the factors underlying personal values, care robots’ value compatibility was associated with social norms toward care robots, the threat of technological unemployment, and COVID-19 stress. The significance of social norms in robot acceptance came down to more universal ethical standards of care work rather than shared norms in the workplace. COVID-19 stress did not explain the temporal changes in views about robot use in care but had a role in assessments of the compatibility between personal values and care robot use. In conclusion, for care workers to see potential in care robots, the new technology must support ethical standards of care work, such as respectfulness, compassion, and trustworthiness of the nurse–patient interaction. In robotizing care work, personal values are significant predictors of the task values.

Successful implementation of robots in welfare services requires that the staff approves of them as a part of daily work tasks. In this study, we identified psychological and socio-demographic determinants associated with readiness for robotization among professional Finnish care-workers. National survey data were collected from professional care workers (n = 3800) between October and November 2016. Random samples were drawn from the member registers of two Finnish trade unions. The data were analyzed with regression models for respondents with and without firsthand experience with robots. The models explained 34–39% of the variance in the readiness for robotization. The readiness was positively associated with self-efficacy, perceived social norms, interest in technology, and perceived impacts on employment. It was also found that the readiness was less determined by age, gender, profession and job satisfaction among the respondents with firsthand robot experience. Among care workers with no experience with robots, older age and lower job satisfaction predicted a readiness for robotization. Care workers stand out as a distinctive group of potential service robot users, with their high confidence in using new technology and low job satisfaction predicting a higher readiness for robotization. Social norms among care workers emerged as an important factor in the readiness for robotization.

Optimistic expectations of technology can be identified in policy documents, academic centres and businesses that aim to create and promote a variety of technologies so that older people can age at home. This article draws on recent data from Ireland and Finland, two countries at different stages of technological development, to examine the role of technology in the home care for older adults. Research participants (service providers and care recipients) agreed that technology could play an important role by improving communications, enabling social contact, and connecting the ‘lone worker’ and ‘isolated patient’ to other stakeholders in home care services. However, participants also had serious concerns around technology. Care was conceptualised as relational and participants expressed apprehension about technology replacing face-to-face contact. Service providers expressed trepidation about the digital divide and technology driving further inequalities in the future. It is important that attempts to develop technology for older adults consider the concerns identified in this study, in order for home care technology to be successfully implemented, widely adopted and meaningfully used.

Background Previous studies have shown that shared decision-making (SDM) between a practitioner and a patient strengthens the ideal of treatment adherence. This study employed a multi-method approach to SDM in healthcare to reinforce the theoretical and methodological grounds of this argument. As the study design, self-reported survey items and experimental vignettes were combined in one electronic questionnaire. This technique aimed to analyze the effects of previous experiences and the current preferences regarding SDM on the intentions to follow-through with the medical recommendations. Method Using quantitative data collected from the members of the Finnish Pensioners’ Federation ( N  = 1610), this study focused on the important and growing population of older adults as healthcare consumers. Illustrated vignettes were used in the evaluation of expected adherence to both vaccination and the treatment of an illness, depending on the decision-making style varying among the repeated scenarios. In a within-subjects study design, each study subject acted as their own control. Results The findings demonstrated that SDM correlates with expected adherence to a treatment and vaccination. Both the retrospective experiences and prospective aspirations of SDM in clinical encounters supported the patients’ expected adherence to vaccination and treatment while decreasing the probability of pseudo-compliance. The association between SDM and expected adherence was not affected by the perceived health of the respondents. However, the associations among the expected adherence and decision-making styles were found to differ between the treatment and vaccination scenarios. Conclusions SDM enables expected treatment adherence among older adults. Thus, the multi-method study emphasizes the importance of SDM in various healthcare encounters. The findings further imply that SDM research benefits from questionnaires combining self-report methods and experimental study designs. Further cross-validation studies using various types of written and illustrated scenarios are encouraged.

Aim To answer the question: ‘How prepared healthcare professionals are to take robots as their assistants in terms of experience and acceptance?’ Background The ageing population, increasing care needs and shortage of healthcare professionals pose major challenges in Western societies. Special service robots designed for care tasks have been introduced as one solution to these problems. Design A correlative design Methods Eurobarometer data (N = 969) and survey data of nurses and other healthcare professionals (N = 3800) were used to assess the relationship between robot acceptance and experiences with robots while controlling for the respondents’ age, gender, occupational status and managerial experience. Results Healthcare professionals had less experience with robots and more negative attitudes towards them than the general population. However, in healthcare, robot assistance was welcomed for certain tasks. These regarded, for example, heavy lifting and logistics. Previous experiences with robots were consistently correlated with robot acceptance.