Attitudes towards care robots among Finnish home care personnel - a comparison of two approaches

Development and Validation of the Attitudes towards Social Robots Scale

The idea of artificially created social robots has a long tradition. Today, attitudes towards robots play a central role in the field of healthcare. Our research aimed to develop a scale to measure attitudes towards robots. The survey consisted of nine questions on attitudes towards robots, sociodemographic questions, the SWOP-K9, measuring self-efficacy, optimism, and pessimism, and the BFI-10, measuring personality dimensions. Structural relations between the items were detected using principal components analysis (PCA) with Varimax rotation. Correlations and Analysis of Variance were used for external validation. In total, 214 participants (56.1% female, mean age: 30.8 ± 14.4 years) completed the survey. The PCA found two main components, "Robot as a helper and assistant" (RoHeA) and "Robot as an equal partner" (RoEqP), with four items each explaining 53.2% and 17.5% of the variance with a Cronbach's α of 0.915 and 0.768. In the personality traits, "Conscientiousness" correlated weakly with both subscales and "Extraversion" correlated with RoHeA, while none the subscales of the SWOP-K9 significantly correlated with RoEqP or RoHeA. Male participants scored significantly higher than female participants. Our survey yielded a stable and convergent two-factor instrument that exhibited convincing validity and complements other findings in the field. The ASRS can easily be used to describe attitudes towards social robots in human society. Further research, however, should be carried out to investigate the discriminant and convergent validity of the ASRS.

Intelligent Physical Robots in Health Care: Systematic Literature Review

BACKGROUND

Intelligent physical robots based on artificial intelligence have been argued to bring about dramatic changes in health care services. Previous research has examined the use of intelligent physical robots in the health care context from different perspectives; however, an overview of the antecedents and consequences of intelligent physical robot use in health care is lacking in the literature.

OBJECTIVE

In this paper, we aimed to provide an overview of the antecedents and consequences of intelligent physical robot use in health care and to propose potential agendas for future research through a systematic literature review.

METHODS

We conducted a systematic literature review on intelligent physical robots in the health care field following the guidelines of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Literature searches were conducted in 5 databases (PubMed, Scopus, PsycINFO, Embase, and CINAHL) in May 2021, focusing on studies using intelligent physical robots for health care purposes. Subsequently, the quality of the included studies was assessed using the Mixed Methods Appraisal Tool. We performed an exploratory content analysis and synthesized the findings extracted from the included articles.

RESULTS

A total of 94 research articles were included in the review. Intelligent physical robots, including mechanoid, humanoid, android, and animalistic robots, have been used in hospitals, nursing homes, mental health care centers, laboratories, and patients' homes by both end customers and health care professionals. The antecedents for intelligent physical robot use are categorized into individual-, organization-, and robot-related factors. Intelligent physical robot use in the health care context leads to both non-health-related consequences (emotional outcomes, attitude and evaluation outcomes, and behavioral outcomes) and consequences for (physical, mental, and social) health promotion for individual users. Accordingly, an integrative framework was proposed to obtain an overview of the antecedents and consequences of intelligent physical robot use in the health care context.

CONCLUSIONS

This study contributes to the literature by summarizing current knowledge in the field of intelligent physical robot use in health care, by identifying the antecedents and the consequences of intelligent physical robot use, and by proposing potential future research agendas in the specific area based on the research findings in the literature and the identified knowledge gaps.

How do people think about the implementation of speech and video recognition technology in emergency medical practice?

Background

Recently, speech and video information recognition technology (SVRT) has developed rapidly. Introducing SVRT into the emergency medical practice process may lead to improvements in health care. The purpose of this study was to evaluate the level of acceptance of SVRT among patients, caregivers and emergency medical staff.

Methods

Structured questionnaires were developed for the patient or caregiver group and the emergency medical staff group. The survey was performed in one tertiary academic hospital emergency department. Questions were optimized for each specific group, and responses were provided mostly using Likert 5-scales. Additional multivariable logistic regression analyses for the whole cohort and subgroups were conducted to calculate odds ratios (OR) and confidence intervals (CI) to examine the association between individual characteristics and SVRT acceptance.

Results

Of 264 participants, respondents demonstrated a positive attitude and acceptance toward SVRT and artificial intelligence (AI) in future; 179 (67.8%) for video recordings, and 190 (72.0%) for speech recordings. A multivariable logistic regression model revealed that several factors were associated with acceptance of SVRT in emergency medical practice: belief in health care improvement by signal analysis technology (OR, 95% CIs: 2.48 (1.15–5.42)) and AI (OR, 95% CIs: 1.70 (0.91–3.17)), reliability of AI application in emergency medicine (OR, 95% CIs: 2.36 (1.28–4.35)) and the security of personal information (OR, 95% CIs: 1.98 (1.10–3.63)).

Conclusion

A high level of acceptance toward SVRT has been shown in patients or caregivers, and it also appears to be associated with positive attitudes toward new technology, AI and security of personal information.

Nurse preferences of caring robots: A conjoint experiment to explore most valued robot features

AIM

Due to the COVID pandemic and technological innovation, robots gain increasing role in nursing services. While studies investigated negative attitudes of nurses towards robots, we lack an understanding of nurses' preferences about robot characteristics. Our aim was to explore how key robot features compare when weighed together.

METHODS

Cross-sectional research design based on a conjoint analysis approach. Robot dimensions tested were: (1) communication; (2) look; (3) safety; (4) self-learning ability; and (5) interactive behaviour. Participants were asked to rank robot profile cards from most to least preferred.

RESULTS

In order of importance, robot's ability to learn ranked first followed by behaviour, look, operating safety and communication. Most preferred robot combination was 'robot responds to commands only, looks like a machine, never misses target, runs programme only and behaves friendly'.

CONCLUSIONS

Robot self-learning capacity was least favoured by nurses showing potential fear of robots taking over core nurse competencies.

Benefits or Risks: What Influences Novice Drivers Regarding Adopting Smart Cars?

Level 4 autonomous vehicles (AVs) are smart vehicles that can move between two different points without any human interference. In 2018, the Saudi Arabian ban on female drivers was finally lifted, resulting in a large number of novice women drivers of different ages. The Kingdom might therefore be considered a risky place to drive, but AVs would help novices to reduce their fear of driving and reduce accidents. Previous studies focused narrowly on those who already had sufficient driving experience and held a valid driving license, but there were no studies on the adoption of smart cars by novice drivers. Based on a literature search, no studies had used a net valence model (NVM) for the adoption of AVs to understand their benefits/risks. Therefore, this study proposed an adoption model for AVs using an NVM to identify the benefit and risk factors that have an impact on beginner drivers’ adoption of autonomous vehicles. A survey method was applied using the purposive sampling technique. Data were collected from 1400 female Saudi novice drivers who had experience with driving AVs. Data analysis was performed using Smart PLS Version 3. The results showed that individuals tended to ignore potential risks and focus instead on the potential benefits of using AVs. Performance expectancy, enjoyment, and effort expectancy were found to be positively related to the perceived advantages. On the other hand, the perceived risk as a construct did not have an impact on beginner drivers’ adoption of autonomous vehicles. Therefore, the major theoretical contribution of this study was the formation of a new NVM model by incorporating three more constructs, which were social influence, personal innovativeness, and alternatives. Finally, the enhanced NVM model could assist AV developers in identifying the expected benefits and drawbacks of AV adoption.

The essential needs for home-care robots in Japan

Purpose

This study aims to compare the level of needs for home-care robots amongst older adults, family caregivers and home-care staff and clarify the factors constituting these needs.

Design/methodology/approach

A cross-sectional, anonymous questionnaire survey was administered. It included 52 items related to needs for home-care robots rated on a four-point Likert scale. Means and standard deviations were calculated, and the Kruskal-Wallis test was performed for each item. Factor analysis was conducted on the needs of home-care staff.

Findings

Responses from 79 older adults, 54 family caregivers and 427 home-care staff were analysed. For all three groups, the level of agreement was high for the following needs: to inform family and support personnel immediately when older adults fall, about their location in case of natural disasters and about mismanagement of fire by older adults with dementia. For family caregivers and home-care staff, the level of need concerning monitoring was higher than for older adults. Extracted using factor analysis, the six factors representing the essential needs for home-care robots were risk minimisation, daily monitoring of the physical condition, supporting activities of daily living (ADL) and instrumental ADL, pre-empting problems, communication and miscellaneous support.

Originality/value

The results showed that the education of caregivers and the co-design process of robot development should involve home-care staff, older adults and family caregivers, which are important for making decisions about the use of home-care robots for older adults.

Impacts of a Care Robotics Project on Finnish Home Care Workers' Attitudes towards Robots

Technological advances in elderly care have been rapid, and the introduction of robots in care will be a topical issue in the near future. There has been little research into the possibility of influencing care workers’ attitudes towards robots by project activities, and how to make the change easier for work communities. This study focuses on a robotics project that took place in elderly and home care services in one municipality in Finland (total of 45 care workers). During the project, four robotics workshops and one extended pilot session were implemented. The study follows quasi-experimental settings, and it included two measurements (before and after project activities) and a control group, but no randomization. The data were collected by questionnaires and were analyzed statistically. The project under study brought about minor positive changes in home care workers’ attitudes towards the usefulness of care robots. In the final measurement, the difference between the test group and the control group was significant in the two dimensions of positive attitudes. The research supports the hypothesis that project activities can be used to influence home care workers’ attitudes towards robots. This can also facilitate the introduction of care robots in home care services. However, the construction of a technology-positive care culture is a long-term process, which requires training and development, technological development and strong strategic management at various levels.

Technological Frames and Care Robots in Eldercare

Care robots are often portrayed as an exciting new technology for improving care practices. Whether these robots will be accepted and integrated into care work or not, is likely to be affected by the assumptions, expectations and understandings held by potential end users, such as frontline staff and the people that are cared for. This paper describes how the conceptual framework of technological frames was used to identify the nature of care robots, care robots in use and care robot strategy as shared group level assumptions, expectations and understandings of care robots among care staff and potential care receivers. Focus groups were conducted with 94 participants. These groups consisted of line managers, frontline care staff, older people and students training to become carers. The technological frame of the nature of care robots revealed two complementary components: care robots as a threat to the quality of care, and care robots as substitute for humans and human care, held together by imaginaries of care robots. The technological frame of care robots in use revealed aspects of prospective end-users’ uncertainty of their ability to handle care robots, and their own perceived lack of competence and knowledge about care robots. In addition, the following potential criteria for successful use of care robots were identified: adequate training, incentives for usage (needs and motives), usability, accessibility and finances. The technological frame of care robot strategy was revealed as believed cost savings and staff reduction. The novelty of the results, and their relevance for science and practice, is derived from the theoretical framework which indicates that adoption of care robots will be dependent on how well societies succeed in collectively shaping congruent technological frames among different stakeholders and aligning technological development accordingly.

Are Future Psychologists Willing to Accept and Use a Humanoid Robot in Their Practice? Italian and English Students' Perspective

Despite general scepticism from care professionals, social robotics research is providing evidence of successful application in education and rehabilitation in clinical psychology practice. In this article, we investigate the cultural influences of English and Italian psychology students in the perception of usefulness and intention to use a robot as an instrument for future clinical practice and, secondly, the modality of presentation of the robot by comparing oral vs. video presentation. To this end, we surveyed 158 Italian and British-English psychology students after an interactive demonstration using a humanoid robot to evaluate the social robot's acceptance and use. The Italians were positive, while the English were negative toward the perceived usefulness and intention to use the robot in psychological practice in the near future. However, most English and Italian respondents felt they did not have the necessary abilities to make good use of the robot. We concluded that it is necessary to provide psychology students with further knowledge and practical skills regarding social robotics, which could facilitate the adoption and use of this technology in clinical settings.

Acceptability of Robots to Assist the Elderly by Future Designers: A Case of Guangdong Ocean University Industrial Design Students

The development of robot technology provides many possibilities for the life support of the elderly. This study explored the acceptability of robots to assist the elderly from the perspective of future designers. A quantitative questionnaire (58 copies) and a qualitative one-to-one interview (10 people) were conducted to explore the attitude of future designers towards the use of robots to assist the elderly. One-sample Wilcoxon signed-rank test statistic was used to analyze the data of the questionnaire. The results show that the mean and median of 11 of the 12 dimensions of the acceptability questionnaire are greater than 3 (3 represents uncertain and neutral attitude), and 10 have statistical significance (p < 0.05). Also, the interview results show the positive attitude of future designers. The research shows that future designers hold a positive and open attitude towards the use of robots to assist the elderly. The research findings can help people understand the attitude of future designers and provide some reference for subsequent robot design and development.

Care Personnel's Attitudes and Fears Toward Care Robots in Elderly Care: A Comparison of Data from the Care Personnel in Finland and Japan

PURPOSE

The aim of the study was to analyze and compare elderly care personnel attitudes toward care robots in Finland and Japan.

DESIGN

Cross-sectional survey in Finland and Japan.

METHODS

The Finnish sample was collected from care personnel in home care facilities in five municipalities in 2016. The Japanese sample was collected from personnel in two rehabilitative day centers and three residential care homes for the elderly in the north of Honshu Island in 2017. The data were analyzed using basic statistical methods and calculated descriptive statistics (frequencies). Differences between the Finnish and Japanese data have been analyzed using the Mann-Whitney U test.

FINDINGS

Overall, Japanese care personnel assessed the usefulness of robots more positively than did their Finnish counterparts. The data showed substantial national differences in the perceived importance of various potential tasks for care robots. The findings show that there are also certain fears related to the introduction of care robots, in particular among the Finnish care personnel.

DISCUSSION

The data from the Japanese care personnel bring new perspectives to the concept of a close human-robot relationship. The differences seen in the results between Finland and Japan can be partly explained by cultural dissimilarity, but it is also known that Japan is a more developed country with regard to the use of robotics in nursing care. The research highlights the importance of cultural factors when examining the issue of care robotics. The factors affecting fear are a concern that care robots would be used to replace people, the dehumanization of treatment, and an increased loneliness in the elderly. Thus, further research is required to demonstrate the relationship between different cultural factors, and attitudes and conceptions toward care robots.

CLINICAL RELEVANCE

Management plays a key role when implementing robotics. It is important to help care personnel accept care robots, and to diminish any fears that their introduction would make the treatment of elderly people inhumane or in some way add to their loneliness. As such, education is crucial in changing attitudes and making care personnel understand that care robots can perform routine tasks, allowing care personnel to focus on providing improved care and nursing.

Views of nurses and other health and social care workers on the use of assistive humanoid and animal-like robots in health and social care: a scoping review

BACKGROUND

Robots are introduced in many health and social care settings.

OBJECTIVES

To provide an overview of the existing evidence related to the views of nurses and other health and social care workers about the use of assistive humanoid and animal-like robots.

METHODS

Using the Joanna Briggs Institute guidelines we searched MEDLINE, PUBMED, CINHAL, EMBASE, PsycInfo, Web of Science, and IEEE Xplore digital library. Nineteen (19) articles met the criteria for inclusion.

RESULTS

Health care workers reported mixed views regarding the use of robots. They considered an array of tasks that robots could perform; they addressed the issue of patient safety and raised concerns about privacy.

CONCLUSIONS

A limited number of studies have explored the views of health care workers about the use of robots. Considering the fast pace with which technology is advancing in the care field, it is critical to conduct more research in this area. Impact Statement: Robots will increasingly have a role to play in nursing, health and social care. The potential impact will be challenging for the healthcare workforce. It is therefore important for nurses and other health and social care workers to engage in discussion regarding the contribution of robots and their impact not only on nursing care but also on future roles of health and social care workers.