Changes in technology acceptance among older people with dementia: the role of social robot engagement

Adopting the service system view toward successful implementation of assistive technologies

This study aims to provide an overview of the service system view (SSV), and the current status of its adoption for the development and implementation of assistive technology (AT). The role of ATs in the global aging scenario is anticipated; however, their diffusion is cumbersome. The SSV captures stakeholders, technologies, and their interactions as integrated systems. Based on this perspective, several approaches for designing long-term care services have been proposed that would be helpful for the successful implementation of ATs. However, the existing geriatrics and gerontology literature seldom addresses these topics. Based on a literature review, this study first illustrates the challenges of using ATs in the real world. The existing literature highlights the sociotechnical challenges of utilizing ATs, such as the changes required in care work and resistance to them. To overcome the challenges, three approaches associated with the SSV have been introduced: service design, service engineering and living labs. This paper also introduces recent national projects in Japan that have adopted these approaches. As the importance of the SSV is growing for the successful implementation of ATs, the ability to adopt the SSV and its approaches is anticipated. In relation to geriatrics and gerontology studies, the impact on older adults' quality of life, as well as the economic effect, needs to be analyzed in future research. Geriatr Gerontol Int 2024; 24: 74-80.

A mobile app to predict and manage behavioral and psychological symptoms of dementia: Development, usability, and users' acceptability

Objective: Non-pharmacological interventions are considered the first-line treatment for behavioral and psychological symptoms of dementia (BPSD); however, traditional approaches have shown only small effect sizes. Mobile technology offers an opportunity to improve BPSD assessment and management in people living with dementia (PLWD). We aimed (1) to develop a mobile application (app) featuring a real-time BPSD diary, machine-learning-based BPSD prediction, and individualized non-pharmacological care programs, including therapeutic use of music and reminiscent content, and (2) to test its usability, acceptability, and preliminary efficacy among PLWD and caregivers. Methods: An Android-based app was developed through the following three phases: (1) needs assessment, (2) software development and initial testing with experts, and (3) beta-testing with end users who were dyads of PLWD and caregivers. The preliminary efficacy, usability, and acceptability of the app were assessed using validated BPSD questionnaires and face-to-face interviews with the dyads. Logs of the dyads' program participation (i.e., types, time, and duration), BPSD diaries, and engagement levels of PLWD were also collected through the app. Results: Five dyads created BPSD diaries (range: 22-48) over 3 weeks. Overall, the BPSD symptoms decreased after the beta-testing period. Each dyad participated in the care programs for 106-204 min, during which music alone was most frequently used. Engagement levels ranged from 3.38 to 4.94 (out of 5). Conclusions: The app was deemed usable, acceptable, and feasible for PLWD and caregivers. The upgraded app will be further tested and can be easily implemented at home or in the community.

Ageing society and the challenge for social robotics: A systematic review of Socially Assistive Robotics for MCI patients

The aging population in Western countries has led to a rise in predementia conditions like Mild Cognitive Impairment (MCI). Social Assistive Robotics (SAR) interventions, among novel technological tools, offer a promising interdisciplinary approach to mitigate cognitive and social symptoms' progression in this clinical group. This systematic review aims to identify existing clinical protocols employing social robots for treating cognitive and social cognition skills in individuals with MCI. The review protocol adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. From six databases, we retrieved and analyzed 193 articles, of which 19 met the inclusion criteria, featuring samples diagnosed with MCI and subjected to cognitive and/or social interventions through SAR. The review encompasses both qualitative and quantitative studies, with a focus on assessing bias risk. Articles were categorized into four primary areas: study participants' samples, types of robots and programming used, assessment of cognitive abilities, and the nature of interventions (i.e., cognitive and and social cognition skills). While the findings highlight the potential benefits of using SAR for MCI interventions in both cognitive and social cognition domains, the studies primarily emphasized robot acceptability rather than intervention outcomes. Methodological limitations such as clinical heterogeneity, absence of control groups, and non-standardized assessments restrict the generalizability of these findings. This review underscores the promising role of Social Assistive Robotics in MCI interventions, emphasizing the importance of social cognition skills interventions and advocating for increased collaboration between clinicians and robotic researchers to overcome current limitations and enhance future outcomes.

Increasing efficiency and well-being? a systematic review of the empirical claims of the double-benefit argument in socially assistive devices

BACKGROUND

Socially assistive devices (care robots, companions, smart screen assistants) have been advocated as a promising tool in elderly care in Western healthcare systems. Ethical debates indicate various challenges. One of the most prevalent arguments in the debate is the double-benefit argument claiming that socially assistive devices may not only provide benefits for autonomy and well-being of their users but might also be more efficient than other caring practices and might help to mitigate scarce resources in healthcare. Against this background, we used a subset of comparative empirical studies from a comprehensive systematic review on effects and perceptions of human-machine interaction with socially assistive devices to gather and appraise all available evidence supporting this argument from the empirical side.

METHODS

Electronic databases and additional sources were queried using a comprehensive search strategy which generated 9851 records. Studies were screened independently by two authors. Methodological quality of studies was assessed. For 39 reports using a comparative study design, a narrative synthesis was performed.

RESULTS

The data shows positive evidential support to claim that some socially assistive devices (Paro) might be able to contribute to the well-being and autonomy of their users. However, results also indicate that these positive findings may be heavily dependent on the context of use and the population. In addition, we found evidence that socially assistive devices can have negative effects on certain populations. Evidence regarding the claim of efficiency is scarce. Existing results indicate that socially assistive devices can be more effective than standard of care but are far less effective than plush toys or placebo devices.

DISCUSSION

We suggest using the double-benefit argument with great caution as it is not supported by the currently available evidence. The occurrence of potentially negative effects of socially assistive devices requires more research and indicates a more complex ethical calculus than suggested by the double-benefit argument.

Understanding the influencing factors and mechanism of social compensation for Chinese older adults using social media in the context of smart home: a qualitative analysis

As a new generation of necessary terminals for future homes, smart homes have become one of the essential mediums for smart aging at home. This paper aims to explore how older adults who age at home can overcome the digital divide of the new medium and achieve social participation in the home context to realize active aging. Based on the theory of social compensation, we select the smart-home smart screen, a representative new medium product in China, and carry out open coding, spindle coding, selective coding, and theoretical construction of the original interview data through the grounded theory research method. The results show that the main factors affecting the social compensation of older adults to smart home social media include user interface quality, interaction quality, content quality, and service quality, and these four factors are used as external variables to compensate older adults socially, thereby stimulating the emotional experience and perception changes at the cognitive level of older adults and then affecting the adoption and acceptance of smart home social media by older adults. This study refines the factors influencing the older adults' use of smart home social media from the perspective of social compensation. It explains the mechanism of acceptable behavior of older adults, bridging the gap in previous literature on the influencing factors and behavioral mechanisms of older adults of smart home social media. This paper provides a theoretical basis and guidance for the subsequent academic research and software development practice of social media under new technological devices to further help older adults in China achieve active and healthy aging.

Effectiveness of Robot Interventions for Cognitive and Psychological Outcomes among Older Adults with Cognitive Impairment: A Meta-Analysis

This review was performed to evaluate the effects of robot interventions on cognitive and psychological outcomes among older adults with cognitive impairment. Three databases (PubMed, Embase, and Cochrane Central Register of Controlled Trials) were searched for studies published in English between January 2015 and August 2021. We included studies that involved older adults with cognitive impairment, interventions using robots, outcome measures related to cognitive and psychological status, and randomized controlled trials. Ten studies included in the systematic review, and nine studies derived from these ten articles were included in the meta-analyses. The meta-analyses revealed that robot interventions significantly decreased anxiety and agitation but exerted no significant effects on cognitive function, neuropsychiatric symptoms, and quality of life. The subgroup analyses according to robot types revealed that pet-type robot interventions reduced anxiety and agitation. In addition, subgroup analysis according to the intervention format of robot interventions found that individual intervention was effective for improving agitation, but a group-based intervention was effective for improving depression. We suggest using robot interventions to improve psychological outcomes such as anxiety and agitation; however, further research is needed to determine whether robot interventions affect symptoms such as cognitive function, neuropsychiatric symptoms, and quality of life.

Effects of Robot-Assisted Activity Using a Communication Robot on Neurological Activity in Older Adults with and without Cognitive Decline

Robot-assisted activity (RAA) using a communication robot (RAA-CR) has been proposed as a tool for alleviating behavioral and psychological symptoms accompanying dementia (BPSD) in patients with cognitive decline. This study aimed to clarify the effects of differences in cognitive function among older adults on changes in active brain areas induced by RAA-CR. Twenty-nine older adults were divided into a cognitive decline group (n = 11) and a control group (n = 18). The participants individually received a 5-minute RAA session, and their resting EEG activity was measured before and after the session. Brain spatial analysis was performed on recorded EEG data using standardized low-resolution brain electromagnetic tomography. In addition, statistical comparisons of neural activity in the brain were made before and after RAA-CR and between the cognitively impaired and control groups. These results suggest that RAA-CR stimulates neural activity in the region centered on the posterior cingulate gyrus and precuneus in cognitively healthy older adults but does not significantly alter brain neural activity in cognitively impaired older adults. Therefore, modifications to the implementation methods may be necessary to effectively implement RAA-CR in cognitively impaired individuals.

A biologically inspired decision-making system for the autonomous adaptive behavior of social robots

The decisions made by social robots while they fulfill their tasks have a strong influence on their performance. In these contexts, autonomous social robots must exhibit adaptive and social-based behavior to make appropriate decisions and operate correctly in complex and dynamic scenarios. This paper presents a Decision-Making System for social robots working on long-term interactions like cognitive stimulation or entertainment. The Decision-making System employs the robot's sensors, user information, and a biologically inspired module to replicate how human behavior emerges in the robot. Besides, the system personalizes the interaction to maintain the users' engagement while adapting to their features and preferences, overcoming possible interaction limitations. The system evaluation was in terms of usability, performance metrics, and user perceptions. We used the Mini social robot as the device where we integrated the architecture and carried out the experimentation. The usability evaluation consisted of 30 participants interacting with the autonomous robot in 30 min sessions. Then, 19 participants evaluated their perceptions of robot attributes of the Godspeed questionnaire by playing with the robot in 30 min sessions. The participants rated the Decision-making System with excellent usability (81.08 out of 100 points), perceiving the robot as intelligent (4.28 out of 5), animated (4.07 out of 5), and likable (4.16 out of 5). However, they also rated Mini as unsafe (security perceived as 3.15 out of 5), probably because users could not influence the robot's decisions.

Effectiveness of digital technologies to engage and support the wellbeing of people with dementia and family carers at home and in care homes: A scoping review

Use of digital technologies to support meaningful engagement of people with dementia and carers increased during the COVID-19 pandemic. The purpose of this scoping review was to determine the effectiveness of digital technologies in supporting the engagement and wellbeing of people with dementia and family carers at home and in care homes. Studies published in peer reviewed literature were identified across four databases (CINAHL, Medline, PUBMED, PsychINFO). Sixteen studies met the inclusion criteria. Findings indicate that digital technologies can potentially support the wellbeing of people with dementia and family carers, although only a few studies had measured impact on wellbeing, as many were reporting on technology at proof-of-concept stage rather than commercially ready products. Moreover, current studies lacked meaningful involvement of people with dementia, family carers, and care professionals in the design of the technology. Future research should bring together people with dementia, family carers, care professionals and designers to coproduce digital technologies with researchers and evaluate them using robust methodologies. Codesign should start early in the intervention development phase and continue until implementation. There is a need for real world applications that nurture social relationships by focusing on how digital technologies can support more personalised, adaptive forms of care. Developing the evidence base to identify what makes digital technologies effective in supporting the wellbeing of people with dementia is crucial. Future interventions should therefore consider the needs and preferences of people with dementia, their families, and professional carers, as well as the suitability and sensitivity of wellbeing outcome measures.

The Use of Robotic Technology in the Healthcare of People above the Age of 65-A Systematic Review

AIM

The integration of robots can help provide solutions in regards to the need for an increase in resources in healthcare. The aim of this review was to identify how robots are utilized in the healthcare of people who are over the age of 65 and how this population experiences interacting with healthcare robots.

DESIGN

A systematic literature review with an integrated design was conducted.

METHODS

A literature search was performed in the electronic databases CINAHL via EBSCO, EMBASE, and Medline via Ovid. Content analysis was performed to assess the studies that were included in this review.

RESULTS

A total of 14 articles were included. Participants in the studies included 453 older people ranging from 65 to 108 years of age. Nine of the studies focused on people with dementia or cognitive impairment. Seven studies included different types of socially assistive human-like robots, six of the studies included two different types of animal-like robots, and one study focused on a robotic rollator. The robots mainly served as social assistive- or engagement robots.

Socially Assistive Humanoid Robots: Effects on Depression and Health-Related Quality of Life among Low-Income, Socially Isolated Older Adults in South Korea

Using a mixed-method study design, we examined the effects of a socially assistive humanoid robot (SAHR), called Hyodol, on depressive symptoms and health-related quality of life (HRQOL) of low-income, socially isolated older adults (N = 180). Quantitative outcomes were assessed at baseline (before Hyodol deployment) and at 3 and 6 months after baseline. Results showed reduced depressive symptoms and improved HRQOL at 3 months; however, these positive effects did not extend to 6 months. Ten focus group participants perceived Hyodol to be a valuable companion especially during the COVID outbreak. These results suggest that while Hyodol may have provided companionship for some low-income, socially isolated older adults during home confinement, its effects on depression and HRQOL were limited. Further research is needed to assess long-term effects of SAHRs as appropriate tools for reducing social isolation and improving behavioral health among community-dwelling older adults.

Development and validation of a robot social presence measurement dimension scale

Robots that can exhibit human-like behaviour, build social relationships with humans, and carry out social interaction that can be considered to have a social presence. Measuring the social presence of robots can provide an important basis for optimizing the design of robots' human-like behaviour, but until now, there has been no research and discussion on the presence of robots from the perspective of social interaction. Based on related studies, such as the theory of the presence of interpersonal interaction society, the mechanism of network social presence measurement and human-computer interaction, this study constructs a theoretical model of robot social presence, and develops corresponding measurement scales with five dimensions, namely, the presence, attention distribution, interactive expression and information understanding, perceived emotional interdependence, and interaction behaviour perception. The 5-dimensional robot social presence model was finalized, and a 17-question questionnaire scale was developed. The validation of the model and the development of the scale includes one expert assessment (involving three experts), one user interview (involving five interviewees), and two questionnaire surveys (involving 172 valid questionnaires and 494 valid questionnaires respectively). The final model shows good reliability of the measurement questionnaire, high inter-factor correlation, high model fit, high internal consistency of the dimensions, high reliability of the scale, and high convergent validity of all dimensions. This study provides a theoretical basis for the study of robot social presence and human-robot collaboration and provides a reference measurement tool for social robot-related development and research.

Exploring the Presence of Humanoid Social Robots at Home and Capturing Human-Robot Interactions with Older Adults: Experiences from Four Case Studies

BACKGROUND

Social robots have the potential to bring benefits to aged care. However, it is uncertain whether placing these robots in older people's home is acceptable and whether human-robot interactions would occur or not.

METHODS

Four case studies were conducted to understand the experiences of older adults and family caregivers when humanoid social robot Ka Ka was placed in homes for two weeks.

RESULTS

Four older adults and three family caregivers were involved. Older adults interacted with the social robot Ka Ka every day during the study period. 'Talking to Ka Ka', 'listening to music', 'using the calendar reminder', and 'listening to the weather report' were the most commonly used features. Qualitative data reported the strengths of Ka Ka, such as providing emotional support to older adults living alone, diversifying their daily activities, and enhancing family relationships. The voice from Ka Ka (female, soft, and pleasing to the ear) was considered as 'bringing a pleasant feeling' to older adults.

CONCLUSIONS

In order to support aging-in-place and fill the gaps of the intensified shortage of health and social manpower, it is of prime importance to develop reliable and age-friendly AI-based robotic services that meet the needs and preferences of older adults and caregivers.

Measuring engagement among older adults using a multidimensional approach to communication

Characterizing older adult engagement is important to determine the effectiveness of interventions. Engagement refers to the occupying of oneself in external stimuli and is observable across multiple dimensions of behavior. Engagement of older adults is commonly investigated using a single behavioral dimension. There is a dearth of analytical methods that can simultaneously quantify both verbal and non-verbal forms of communication as proxies for engagement. In this article, we present a multidimensional technique to measure engagement of older adults using techniques appropriate for people with varying degrees of dementia. The new analytical approach measures facial movement, lexical use, and prosodic patterns of speech as indices of affective and behavioral outcomes of engagement. Contexts for engagement included a dyadic reminiscence therapy interview and a 12-week technology-driven group reminiscence therapy. Illustrative examples of the technique are described by two participants from two different groups in a naturalistic setting. Application of these analytical techniques can enhance measurement precision and further develop the science and evidence base, especially for, but not confined to, non-pharmacological interventions.

Factors influencing the intention to use assistive technologies by older adults

Society is ageing at an unprecedented pace worldwide creating implications for the health and social care. Gerontechnology has been recognized as a solution that increases and supports the independency and well-being of older adults at home. This article aims to identify the most critical success factors effecting the adoption of an assistive gerontechnology by older adults in Poland. The object of the authors' interest was Rudy robot, an AI-enabled mobile solution helping users remain physically healthy, mentally sharp, and socially connected. The data was collected among Polish citizens using the CATI technique between November and December 2020. The number of returned questionnaires amounted to 824. The authors used Generalized Least Squares (GLS) of Structural Equation Modelling (GLS-SEM) to verify the hypotheses. The obtained results confirmed statistically significant relationships between the variables of perceived usefulness of Rudy robot and attitude reflecting the willingness to use this technology, as well as between perceived ease of use and perceived usefulness of robot. However, relationship between perceived ease of use and inclination to use this technology in the future was not statistically significant. The conducted research confirmed that the functionality of the analysed Rudy robot for older-adult care positively influences their intension to use it in the future for their own needs or family members. The obtained results confirmed usefulness of robots as assistive technology helping older adults.

Socially assistive robots for people with dementia: Systematic review and meta-analysis of feasibility, acceptability and the effect on cognition, neuropsychiatric symptoms and quality of life

BACKGROUND

There is increasing interest in using robots to support dementia care but little consensus on the evidence for their use. The aim of the study is to review evidence about feasibility, acceptability and clinical effectiveness of socially assistive robots used for people with dementia.

METHOD

We conducted a systematic review and meta-analysis. We searched MEDLINE, EMBASE, PsychINFO, CINHAL, IEEE Xplore Digital Library, and EI Engineering Village from inception to 04 - 02-2022 - included primary studies assessing feasibility, acceptability, or effectiveness of socially assistive robots for people with dementia. Two independent reviewers screened studies for eligibility, and assessed quality. Narrative synthesis prioritized higher quality studies, and random-effect meta-analyses compared robots with usual care (UC) or active control (AC) immediately after the intervention (short-term; ST) or long-term (LT) on cognition, neuropsychiatric symptoms, and quality of life.

FINDINGS

66 studies and four categories of robots were eligible: Companion robots (Pet and humanoid companion robots), telepresence communication robots, homecare assistive robots and multifunctional robots. PARO (companion robot seal) was feasible and acceptable but limited by its weight, cost, and sound. On meta-analysis, PARO had no ST or LT compared to UC or AC over 5-12 weeks on agitation (ST vs UC, 4 trials, 153 participants: pooled standardized mean difference (SMD) 0.25; - 0.57 to 0.06; LT vs UC; 2 trials, 77 participants, SMD = -0.24; - 0.94, 0.46), cognition (ST vs UC, 3 trials, 128 participants: SMD= 0.03; -0.32, 0.38), overall neuropsychiatric symptoms (ST vs UC, 3 trials, 169 participants: SMD= -0.01; -0.32, 0.29; ST vs AC, 2 trials, 145 participants: SMD =0.02, -0.71, 0.85), apathy (ST vs AC, 2 trials, 81 participants: SMD= 0.14; 0.29, 0.58), depression (ST vs UC, 4 trials, 181 participants; SMD= 0.08; -0.52, 0.69; LT vs UC: 2 trials, 77 participants: SMD =0.01; -0.75, 0.77), anxiety (ST vs UC: 2 trials, 104 participants, SMD= 0.24; -0.85, 1.33) and quality of life (ST vs UC, 2 trials, 127 participants: SMD=-0.05; -0.52, 0.42; ST vs AC: 2 trials, 159 participants, SMD =-0.36, -0.76, 0.05). Robotic animals, humanoid companion robots, telepresence robots and multifunctional robots were feasible and acceptable. However, humanoid companion robots have speech recognition problems, and telepresence robots and multifunctional robots were often difficult to use. There was mixed evidence about the feasibility of homecare robots. There was little evidence on any of these robots' effectiveness.

CONCLUSION

Although robots were generally feasible and acceptable, there is no clear evidence that people with dementia derive benefit from robots for cognition, neuropsychiatric symptoms, or quality of life. We recommend that future research should use high quality designs to establish evidence of effectiveness.

Robots in Eldercare: How Does a Real-World Interaction with the Machine Influence the Perceptions of Older People?

(1) Background: Using autonomous social robots in selected areas of care for community-dwelling older adults is one of the promising approaches to address the problem of the widening care gap. We posed the question of whether a possibility to interact with the technology to be used had an impact on the scores given by the respondents in various domains of needs and requirements for social robots to be deployed in care for older individuals. (2) Methods: During the study, the opinions of older people (65+; n = 113; with no severe cognitive impairment) living in six social care institutions about a robot in care for older people were collected twice using the Users’ Needs, Requirements and Abilities Questionnaire (UNRAQ): after seeing a photo of the robot only and after a 90−150 min interaction with the TIAGo robot. (3) Results: Mean total scores for both assistive and social functions were higher after the interaction (p < 0.05). A positive correlation was found between opinion changes in social and assistive functions (r = 0.4842; p = 0.0000). (4) Conclusions: Preimplementation studies and assessments should include the possibility to interact with the robot to provide its future users with a clear idea of the technology and facilitate necessary customisations of the machine.

Elderly's intention to use technologies: A systematic literature review

The population aging and an increased life expectancy are widely recognized social changes. Technologies are believed to improve the elderly's daily lives and maintain their health efficiently. Despite the advantage of adopting technologies, the elderly are slower to adopt new technologies compared to younger adults. This paper presents a Systematic Literature Review (SLR) to identify the different antecedents prevailing in the literature on elderly technology adoption. The SLR classifies and analyzes 26 relevant articles on elderly's technology adoption. Our findings revealed that quantitative approach and cross-sectional studies predominate in this field, building fundamentally upon the technology-driven theories. We identify seven categories of antecedents influencing elderly's use of technology, namely, technology, psychological, social, personal, cost, behavior, and environment antecedents. A conceptual framework for elderly's technology adoption and recommendations were presented. Particular attention is given to the need for in depth study for the antecedents, development of new measurement scales and investigation on the effectiveness of the proposed benefits after technology adoption.

Towards Perceived Playfulness and Adoption of Hearables in Smart Cities of China

'Hearables' have become important in the aging population. This study investigates whether smart technologies help middle-aged and elderly people accept hearing aid devices in smart cities of China. The authors adopt the PLS-SEM framework to analyze the factors that affect behavioral intention towards adopting hearing aids in smart cities. In order to avoid common method bias, Harman's single factor method is also carried out to make sure the instrument does not introduce a bias. The findings suggest that perceived playfulness and perceived usefulness are principal determinants of hearing aids adoption. In contrast, perceived ease of use, a factor always stressed in literature, does not matter significantly. The results reveal that smart technologies enable patients to access professional services and instructions playfully, which reduces obstacles to adopt hearing aids. This study provides novel insights for policymakers and manufacturers to expand hearing aid adoption by facilitating smart infrastructure and technologies.

The Social Robot and the Digital Physiotherapist: Are We Ready for the Team Play?

Motivation: We are witnessing two phenomena. The first is that the physiotherapist is increasingly becoming a figure that must interact with Digital Health. On the other hand, social robots through research are improving more and more in the aspects of social interaction thanks also to artificial intelligence and becoming useful in rehabilitation processes. It begins to become strategic to investigate the intersections between these two phenomena. Objective: Therefore, we set ourselves the goal of investigating the consensus and opinion of physiotherapists around the introduction of social robots in clinical practice both in rehabilitation and assistance. Procedure: An electronic survey has been developed focused on social robot-based rehabilitation and assistance and has been submitted to subjects focused on physiotherapy sciences to investigate their opinion and their level of consent regarding the use of the social robot in rehabilitation and assistance. Two samples of subjects were recruited: the first group (156 participating subjects, 79 males, 77 females, mean age 24.3 years) was in the training phase, and the second (167 participating subjects, 86 males, 81 females, mean age 42.4 years) group was involved in the work processes. An electronic feedback form was also submitted to investigate the acceptance of the proposed methodology. Results: The survey showed a consistency of the results between the two samples from which interesting considerations emerge. Contrary to stereotypes that report how AI-based devices put jobs at risk, physiotherapists are not afraid of these devices. The subjects involved in the study believe the following: (a) social robots can be reliable co-workers but will remain a complementary device; (b) their role will be of the utmost importance as an operational manager in their use and in performance monitoring; (c) these devices will allow an increase in working capacity and facilitate integration. All those involved in the study believe that the proposed electronic survey has proved to be a useful and effective tool that can be useful as a periodic monitoring tool and useful for scientific societies. Conclusions: The evolution of social robots represents an unstoppable process as does the increase in the aging of the population. Stakeholders must not look with suspicion toward these devices, which can represent an important resource, but rather invest in monitoring and consensus training initiatives.

Can a humanoid social robot stimulate the interactivity of cognitively impaired elderly? A thorough study based on computer vision methods

Social Assistive Robotics is increasingly being used in care settings to provide psychosocial support and interventions for the elderly with cognitive impairments. Most of these social robots have provided timely stimuli to the elderly at home and in care centres, including keeping them active and boosting their mood. However, previous investigations have registered shortcomings in these robots, particularly in their ability to satisfy an essential human need: the need for companionship. Reports show that the elderly tend to lose interests in these social robots after the initial excitement as the novelty wears out and the monotonous familiarity becomes all too familiar. This paper presents our research facilitating conversations between a social humanoid robot, Nadine, and cognitively impaired elderly at a nursing home. We analysed the effectiveness of human-humanoid interactions between our robot and 14 elderly over 29 sessions. We used both objective tools (based on computer vision methods) and subjective tools (based on observational scales) to evaluate the recorded videos. Our findings showed that our subjects engaged positively with Nadine, suggesting that their interaction with the robot could improve their well-being by compensating for some of their emotional, cognitive, and psychosocial deficiencies. We detected emotions associated with cognitively impaired elderly during these interactions. This study could help understand the expectations of the elderly and the current limitations of Social Assistive Robots. Our research is aligned with all the ethical recommendations by the NTU Institutional Review Board.

Effects of robotic care interventions for dementia care: A systematic review and meta-analysis randomised controlled trials

BACKGROUND

The role of robotic care has been studied because it may be a care option applicable to dementia care. However, the effects of robotic care in dementia care are still inconclusive.

AIM

To explore the span of the effects of robotic care intervention among patients with dementia.

DESIGN

Systematic review and meta-analysis.

METHODS

This study searched systematically using the following databases: Academic Search Complete, CINAHL, Cochrane Library, MEDLINE, PubMed, SocINDEX, UpToDate (OVID) and Web of Science. The eligibility criteria were patients with dementia, randomised controlled trials and publications in English. The PEDro scale was used to assess the methodological quality in the included studies. The meta-analysis was performed using a fixed-effects model to calculate the pooled effects of robotic care interventions. STATA 16.0 was used for statistical analysis. The results are reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines.

RESULTS

A total of 15 studies met the eligibility criteria and included 1684 participants. Overall, the robotic care interventions had positive effects on agitation (SMD = 0.09; 95% CI [-0.22-0.33]), anxiety (SMD = -0.07; 95% CI [-0.42-0.28]), cognitive function (SMD = 0.16; 95% CI [-0.08-0.40]), depression (SMD = -0.35; 95% CI [-0.69-0.02]), neuropsychiatric symptoms (SMD = 0.16; 95% CI [-0.29-0.61]), total hours of sleep during daytime (SMD = -0.31; 95% CI [-0.55 to 0.07]) and quality of life (SMD = 0.24; 95% CI [-0.23-0.70]).

CONCLUSION

Robotic care intervention may be an effective and alternative intervention for improving the health outcomes for people with dementia. The robotic care effect on anxiety should be confirmed. Further studies may consider the frequency, duration of intervention and possible negative outcomes after robotic care interventions.

RELEVANCE TO CLINICAL PRACTICE

As a non-pharmacological approach, nursing staff may consider the robotic care intervention in providing care for patients with dementia since this intervention has clinical benefits.

Exploring the acceptance of tablets usage for cognitive training among older people with cognitive impairments: A mixed-methods study

This study investigated the acceptance of tablets technology among cognitively impaired older adults from individual and contextual levels when used in cognitive training. A convergent parallel mixed-methods design, comprising a post-usage questionnaire survey and focus groups, was used for data collection. A number of 57 community-dwelling cognitively impaired older people in Hong Kong completed an eight-week, home-based cognitive training using tablets delivered by older volunteers. The acceptance of the tablet usage for cognitive training was evaluated using questionnaire survey. Focus groups were conducted with participants, volunteers, and social workers to explore their experiences of tablet usage for cognitive training. Results indicated that attitudes toward tablets and facilitating conditions were predictors of intention to use tablets at the individual level. Tablets were perceived as beneficial on cognition, enjoyment, learning, social relationships, and communication. Contextual level factors that can encourage tablets usage include capacity building, empowerment, supports from the organization, and trust.

Use of technology and social media in dementia care: Current and future directions

As the population across the globe continues to dramatically increase, the prevalence of cognitive impairment and dementia will inevitably increase as well, placing increasing burden on families and health care systems. Technological advancements over the past decade provide potential benefit in not only relieving caregiver burden of caring for a loved one with dementia, but also enables individuals with dementia to age in place. Technological devices have served to improve functioning, tracking and mobility. Similarly, smartphones, tablets and the ubiquitous world wide web have facilitated the dissemination of health information to previously hard to reach populations largely through use of various social media platforms. In this review, we discuss the current and future uses of technology via devices and social media to promote healthy aging in individuals with dementia, and also limitations and challenges to consider in the future.