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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.

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.

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.

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.

This study aims to examine the possible factors affecting Malaysians’ intention to adopt new technology such as home health-care robots (HHRs) based on the extended unified theory of acceptance and use of technology (UTAUT) model. The variable price, awareness and alternative attractiveness were added since HHRs is a new technology in Malaysia.

This study collected the self-administered questionnaire from 316 respondents who are currently taking care of elderly or disabled people at home. The UTAUT variables, price and awareness were the predictors, and the intention to adopt HHRs was the independent variable, with alternative attractiveness as the moderator. The partial least squares structural equation modeling was used for analysis of the measurement model and the structural model of this study.

The results show that performance expectancy, social influence, facilitating conditions, price and awareness significantly and positively affect Malaysians’ intention to adopt HHRs. Alternative attractiveness moderates the relationship between price and intention to adopt HHRs.

The findings provide insights to marketers, managers and policymakers in identifying the right strategies to promote HHRs and thus, solving the problem of scarcity in caretakers for elderly and disabled people.

This study adds value to the current literature by integrating price and awareness constructs with the UTAUT model. This study also examines the moderating effect of alternative attractiveness on the intention to adopt HHRs, which is still limited but significant for developing nations.

The COVID-19 pandemic stressed the health care sector's longstanding pain points, including the poor quality of frontline work and the staffing challenges that result from it. This has renewed interest in technology-centered approaches to achieving not only the “Triple Aim” of reducing costs while raising access and quality but also the “Quadruple Aim” of doing so without further squeezing wages and abrading job quality for frontline workers.

How can we leverage technology toward the achievement of the Quadruple Aim? I view this as a “grand challenge” for health care managers and policymakers. Those looking for guidance will find that most analyses of the workforce impact of technological change consider broad classes of technology such as computers or robots outside of any particular industry context. Further, they typically predict changes in work or labor market outcomes will come about at some ill-defined point in the medium to long run. This decontextualization and detemporization proves markedly problematic in the health care sector: the nonmarket, institutional factors driving technology adoption and implementation loom especially large in frontline care delivery, and managers and policymakers understandably must consider a well-defined, near-term, i.e., 5–10-year, time horizon.

This study is predicated on interviews with hospital and home health agency administrators, union representatives, health care information technology (IT) experts and consultants, and technology developers. I detail the near-term drivers and anticipated workforce impact of technological changes in frontline care delivery. With my emergent prescriptions for managers and policymakers, I hope to guide sectoral actors in using technology to address the “grand challenge” inherent to achieving the Quadruple Aim.

The purpose of this paper is to propose a suitable motion planning for omni‐directional mobile robots (OMRs) by taking into account the motion characteristics.

Based on the kinematic and dynamic constraints, the maximum velocity, motion stability and energy consumption of the OMR moving in different directions are analysed, and the anisotropy of the OMR is presented. In order to obtain the optimal motion, the path that the robot can take in order to avoid the obstacle safely and reach the goal in a shorter path is deduced. According to the new concept of anisotropic function, the motion direction derived from traditional artificial potential field (tAPF) is regulated.

A combination of the anisotropic function and tAPF method produces high‐speed, highly stable and efficient motion when compared to the tAPF. Simulations and experiments have proven the validity and effectiveness of this method.

The practical factors, such as the effect of wear on the omni‐directional wheels, are not considered. Typical problems of APF, e.g. local minima, are not addressed here. In our future research, we will deal with these issues.

The proposed motion planning is applicable for any kind of OMRs, both three‐ and four‐wheeled OMRs, which can fully exhibit the advantages of OMRs.

The new concept of an anisotropic function is proposed to indicate the quality of motion in different directions. Different motion effects can be obtained in the same direction with different weights denoted by the anisotropic function, i.e. different trade‐offs can be achieved by varying the weights.

The purpose of this study is to investigate the benefits for aged care providers of adding affordable robotic technology to their services packages to enhance the well-being of older adults from culturally and linguistically diverse (CALD) backgrounds who choose to live at home.

This study, adopting a transformative service research lens, was performed with a group of older Australian adults from CALD backgrounds aged approximately 70 years. This study conducted four rounds of home trials with three different, commercially available robotic technologies from January to November 2020. Each trial lasted seven days.

The findings reveal that older adults from CALD backgrounds are open to learning about new technologies and can successfully interact independently with multiple robotic technologies in their own homes. The results indicate that robot technology has the potential to increase the well-being of older people by enhancing a sense of belonging, independence and quality of life while living at home.

This study shows a promising future involving the use of available technology to assist older people from CALD backgrounds to live better lives at home. Ageing at home can be central to a person’s sense of identity and independence, and this study is a big step towards a new aged care system desperately needed in a society with a rapidly ageing population.

To the best of the authors’ knowledge, this study is among the first to introduce three different commercially available robots, each designed to satisfy companionship, cleaning and/or communication needs in the homes of older adults from CALD backgrounds to increase their overall well-being.

The purpose of this research is to propose and empirically validate a theoretical framework to investigate the willingness of the elderly to disclose personal health information (PHI) to improve the operational efficiency of AI-integrated caregiver robots.

Drawing upon Privacy Calculus Theory (PCT) and the Technology Acceptance Model (TAM), 274 usable responses were collected through an online survey.

Empirical results reveal that trust, privacy concerns, and social isolation have a direct impact on the willingness to disclose PHI. Perceived ease of use (PEOU), perceived usefulness (PU), social isolation, and recognized benefits significantly influence user trust. Conversely, elderly individuals with pronounced privacy concerns are less inclined to disclose PHI when using AI-enabled caregiver robots.

Given the pressing need for AI-enabled caregiver robots due to the aging population and a decrease in professional human caregivers, understanding factors that influence the elderly's disclosure of PHI can guide design considerations and policymaking.

Considering the increased demand for accurate and comprehensive elder services, this is the first time that information disclosure and AI-enabled caregiver robot technologies have been combined in the field of healthcare management. This study bridges the gap between the necessity for technological improvement in caregiver robots and the importance of transparent operational information by disclosing the elderly's willingness to share PHI.

The rousing phenomenon of the ageing population is becoming a vital issue and demanding fulminant actions. Population ageing is a resultant of the enhanced health-care system, groovy antibiotics, medications and economic well-being. Old age leads to copious amounts of ailments. Aged people, owing to their reduced mobility and enervating disabilities, tend to rely upon caretakers and/or nursing personnel. With the increasing vogue of nuclear families in the society, the elderly are at the risk of being unveiled to emotional, physical and fiscal insecurities in the years to come. Caring for those seniors will be an enormous undertaking.

There is a dire need for an intelligent assistive system to meet out the requirements of continuous holistic care and monitoring. Assistive robots and systems used for elderly care are studied. The design motivation for the robots, elderly–robot interaction capabilities and technology incorporated in the systems are examined meticulously.

From the survey, it is suggested that the subsystems of an assistive robot revamped for better human–machine interactions will be a potential alternative to the human counterpart. Affirmable advancements in the robot design and interaction methodologies that would increase the holistic care and assistance for aged people are analyzed and listed.

This paper reviews the available assistive technologies and suggests a synergistic model that can be adopted for the caring of the elderly.

In a best-case scenario, both organisations and their employees gain from technological changes by staying up to date on developing digitalisation. However, opportunities to learn and use modern technologies may not be shared equally in the workplace. Employee groups can be divided between those with and without access to new technologies. This study aims to examine the extent to which the position of an employee may be associated with the opportunity to work with robots.

Health-care work was chosen as an exemplary context of emerging robotisation. To gain correlative evidence on how the position and technology orientation of an employee associate with access to care robots, the study used online survey data collected from Finnish care workers (N = 226).

Workplace hierarchies were found to play a significant part in robotisation. Management experience increased the probability for an employee to have access to care robots, but this position did not differentiate between the employees in their aspiration to use care robots. Individual interest in technology was associated with robot use only among care workers with no management experience, whereas managers’ access to robots did not depend on their personal interests.

This study brings new information about the equity of robot-use opportunities in workplaces. Distinctive to care robots was the significant number of motivated non-users. Thus, adding to the categories of “have-bots”, “have-nots” and “want-nots”, this study introduces an important group of “want-bots”.

Social robots increasingly adopt service roles in the marketplace. While service research is beginning to unravel the implications for theory and practice, other scientific disciplines have amassed a wealth of empirical data of robots assuming such service roles. The purpose of this paper is to synthesize these findings from a role theory perspective with the aim of advancing role theory for human–robot service interaction (HRSI).

A systematic review of more than 10,000 articles revealed 149 empirical HRSI-related papers across scientific disciplines. The respective articles are analyzed employing qualitative content analysis through the lens of role theory.

This review develops an organizing structure of the HRSI literature across disciplines, delineates implications for role theory development in the age of social robots, and advances robotic role theory by providing an overarching framework and corresponding propositions. Finally, this review introduces avenues for future research.

This study pioneers a comprehensive review of empirical HRSI literature across disciplines adopting the lens of role theory. The study structures the body of HRSI literature, adapts traditional and derives novel propositions for role theory (i.e. robotic role theory), and delineates promising future research opportunities.