The Psychosocial Effects of a Companion Robot: A Randomized Controlled Trial

Effect of a Group-Based Personal Assistive RObot (PARO) Robot Intervention on Cognitive Function, Autonomic Nervous System Function, and Mental Well-being in Older Adults with Mild Dementia: A Randomized Controlled Trial

OBJECTIVES

Personal Assistive RObot (PARO) interventions have been used to treat agitation and mood symptoms of dementia effectively. However, the effects of a PARO intervention on physiological and cognitive function are unclear. To examine the effects of a group-based PARO intervention for older adults with mild dementia.

DESIGN

Using a group-based PARO intervention randomized controlled trial with 2-arm parallel groups.

SETTING AND PARTICIPANTS

Older adults with mild dementia aged 65 years or older from 4 dementia day care centers were recruited.

METHODS

Physiological parameters were assessed using the finger tapping test (FTT) and heart rate variability (HRV). The Mini-Mental State Examination (MMSE), Geriatric Depression Scale-Short Form (GDS-SF), University of California Los Angeles loneliness scale-version 3 (UCLA-3), and Warwick-Edinburgh Mental Well-being Scale (WEMWBS) were assessed before the intervention, end of the intervention, and 1-month after the intervention.

RESULTS

Using a repeated-measures generalized linear model, significant time × group interactions were found in the MMSE [F(2, 115) = 19.54, P < .001], FTT [F(2, 115) = 4.87, P = .01], HRV high-frequency [F(2, 115) = 3.57, P = .03], and high-frequency/low-frequency ratio [F(2, 115) = 0.96, P = .01], UCLA-3 [F(2, 115) = 54.7, P < .001], GDS-SF [F(2, 115) = 3.36, P = .04], and WEMWBS [F(2, 115) = 5.93, P < .001]. Furthermore, psychological parameters improved significantly and continuously even 1 month after the PARO intervention was finished. Physiological parameters significantly improved at week 6, but the effects had diminished by week 10.

CONCLUSIONS AND IMPLICATIONS

A PARO intervention may effectively improve the physiological and psychological responses of people with mild dementia.

Loneliness and pet ownership among dependent older adults in a Southern European urban context

OBJECTIVE

Identify the role that pet ownership may play in mitigating feelings of loneliness among dependent older adults, with a particular focus on gender and mobility problems.

METHOD

We use a representative sample of dependent individuals aged 65 and over (n = 1,600), with 1,005 self-respondents in Barcelona, drawn from the 2023 Survey of Older People with Functional Dependency. Logistic regression models assess the associations between pet ownership (dog, cat, or other animal) and perceived loneliness in older dependents. Models are stratified by gender.

RESULTS

The analysis highlights that dog ownership and receiving family care are factors associated to lower risk of perceived loneliness, particularly among women. In contrast, the association between pet ownership and loneliness is less clear for men for whom no differences were observed between dog owners, other pet owners and individuals without pets in the outcome measure. Our analyses also reveal that the benefits of dog ownership hold only for old age dependents with mobility impairments.

CONCLUSION

Our results provide evidence that gender, type of pet and mobility are key variables associated to loneliness. These findings underscore the importance of considering dog ownership and family involvement in care strategies to mitigate loneliness among older dependents.

Use of Socially Assistive Robots to Improve Outcomes Among Hospitalized Older Adults With Dementia: A Pilot Randomized Trial

PURPOSE

To examine the use of the PARO robotic pet seal for hospitalized older adults with dementia and compare the effects of PARO use with visits by a human on various outcomes, including physical restraint use, psychotropic medications, bedside sitters, and delirium.

METHOD

Complete data for 38 participants were analyzed using Mann-Whitney U and chi-square tests.

RESULTS

Participants interacting with PARO spent less time in their interactions; however, they received fewer psychotropic medications and had fewer instances of delirium than those who interacted with human visitors only.

CONCLUSION

Aspects of hospitalization may limit the time an older adult can sustain attention or be free from interruption; however, short, repeated visits with PARO may affect the development of delirium and decrease use of medications to alter behavior in the hospital setting. [Journal of Gerontological Nursing, 50(10), 11-16.].

The Impact of Engagement with the PARO Therapeutic Robot on the Psychological Benefits of Older Adults with Dementia

OBJECTIVES

This study aimed to examine the effect of 8-weeks of a 60-minute PARO intervention to reduce depressive symptoms and loneliness in older adults with dementia and investigated changes in their emotional or behavioral expressions and level of engagement with the PARO robot.

METHODS

This was a quasi-experimental study with a repeated measures design. The outcome measures were evaluated at four time-points: before the intervention, week 4, immediately after the intervention, and one month after the PARO intervention.

RESULTS

Fifty-two participants were recruited. The age of the participants ranged from 65 to 96 years, with a mean age of 81.81 years (SD = 8.54) in the PARO group and 79.08 years (SD = 7.71) in the control group. Using a mixed between-within subjects' analysis of variance, the results showed that there were significant interaction effects between the groups and time-periods for depression (p < .000), loneliness (p < .000), and engagement (p < .000).

CONCLUSIONS

The PARO intervention alleviated depression and loneliness for older adults. Furthermore, the process of engagement with PARO may play an important role in the PARO effects.

CLINICAL IMPLICATIONS

A tailored PARO intervention of at least 4 weeks could engender positive psychological benefits for older adults.

Human-Robot Intimacy: Acceptance of Robots as Intimate Companions

Depictions of robots as romantic partners for humans are frequent in popular culture. As robots become part of human society, they will gradually assume the role of partners for humans whenever necessary, as assistants, collaborators, or companions. Companion robots are supposed to provide social contact to those who would not have it otherwise. These companion robots are usually not designed to fulfill one of the most important human needs: the one for romantic and intimate contact. Human-robot intimacy remains a vastly unexplored territory. In this article, we review the state-of-the-art research in intimate robotics. We discuss major issues limiting the acceptance of robots as intimate partners, the public perception of robots in intimate roles, and the possible influence of cross-cultural differences in these domains. We also discuss the possible negative effects human-robot intimacy may have on human-human contact. Most importantly, we propose a new term "intimate companion robots" to reduce the negative connotations of the other terms that have been used so far and improve the social perception of research in this domain. With this article, we provide an outlook on prospects for the development of intimate companion robots, considering the specific context of their use.

Facing the Next "Geriatric Giant"-A Systematic Literature Review and Meta-Analysis of Interventions Tackling Loneliness and Social Isolation Among Older Adults

OBJECTIVES

Loneliness and social isolation are associated with adverse health outcomes, especially within the older adult population, underlining the need for effective interventions. This systematic review and meta-analysis aims to summarize all available evidence regarding the effectiveness of interventions for loneliness and social isolation, to map out their working mechanisms, and to give implications for policy and practice.

DESIGN

Systematic literature review and meta-analysis.

SETTING AND PARTICIPANTS

Older adults (≥65 years).

METHODS

A systematic search was conducted in MEDLINE, PsycINFO, and CINAHL for studies quantitively or qualitatively assessing effects of interventions for loneliness and social isolation in older adults, following predefined selection criteria. Risk of bias as well as small study effects were assessed and, wherever appropriate, information about effect sizes of individual studies pooled using random-effects meta-analyses. Sources for between-study heterogeneity were explored using meta-regression.

RESULTS

Of n = 2223 identified articles, n = 67 were eventually included for narrative synthesis. Significant intervention effects were reported for a proportion of studies (55.9% and 50.0% for loneliness and social isolation, respectively) and 57.6% of studies including a follow-up measure (n = 29) reported sustained intervention effects. Meta-analysis of n = 27 studies, representing n = 1756 participants, suggested a medium overall effect of loneliness interventions (d = -0.47; 95% CI, -0.62 to -0.32). Between-study heterogeneity was substantial and could not be explained by differences in study design, year of publication, outcome measures, intervention length, participant demographics, setting, baseline level of loneliness, or geographic location. However, non-technology-based interventions reported larger effect sizes on average (Δd = -0.35; 95% CI, -0.66 to -0.04; P = .029) and were more often significant. Qualitative assessment of potential intervention mechanisms resulted in 3 clusters of effective components: "promoting social contact," "transferring knowledge and skills," and "addressing social cognition".

CONCLUSIONS AND IMPLICATIONS

Interventions for loneliness and social isolation can generally be effective, although some unexplained between-study heterogeneity remains. Further research is needed regarding the applicability of interventions across different settings and countries, also considering their cost-effectiveness.

Influence of a robotic companion on women's food choices: Evidence from an imaginary task

Previous research has demonstrated the influence of commensal dining between humans on food choices, whereas we conducted two studies to examine how the presence of a robot might influence people's choices between meat-heavy and vegetable-forward meals in imaginary scenarios. In Study 1, participants were instructed to choose three desirable dishes from a set of two meat and two vegetable dishes while they imagined eating alone, with a human, or with a robot. Although the meat dishes were rated as more palatable and pleasant, the female participants chose fewer meat-heavy meals when eating alone or with a robot than when eating with a human, whereas no such effect was observed for the male participants. We also replicated these patterns in Study 2, as the female participants chose fewer meat-heavy meals when eating with a robot and a human than when eating with two humans. Collectively, these findings provide empirical evidence regarding how the presence of a certain robot can influence female consumers' food choices in imaginary scenarios, which has direct implications for the practice of promoting sustainable food choices.

Socially Assistive Robots for patients with Alzheimer's Disease: A scoping review

BACKGROUND

The most common form of dementia, Alzheimer's Disease (AD), is challenging for both those affected as well as for their care providers, and caregivers. Socially assistive robots (SARs) offer promising supportive care to assist in the complex management associated with AD.

OBJECTIVES

To conduct a scoping review of published articles that proposed, discussed, developed or tested SAR for interacting with AD patients.

METHODS

We performed a scoping review informed by the methodological framework of Arksey and O'Malley and adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist for reporting the results. At the identification stage, an information specialist performed a comprehensive search of 8 electronic databases from the date of inception until January 2022 in eight bibliographic databases. The inclusion criteria were all populations who recive or provide care for AD, all interventions using SAR for AD and our outcomes of inteerst were any outcome related to AD patients or care providers or caregivers. All study types published in the English language were included.

RESULTS

After deduplication, 1251 articles were screened. Titles and abstracts screening resulted to 252 articles. Full-text review retained 125 included articles, with 72 focusing on daily life support, 46 on cognitive therapy, and 7 on cognitive assessment.

CONCLUSION

We conducted a comprehensive scoping review emphasizing on the interaction of SAR with AD patients, with a specific focus on daily life support, cognitive assessment, and cognitive therapy. We discussed our findings' pertinence relative to specific populations, interventions, and outcomes of human-SAR interaction on users and identified current knowledge gaps in SARs for AD patients.

Interventions for loneliness in older adults: a systematic review of reviews

Loneliness in older persons is a major risk factor for adverse health outcomes. Before the COVID-19 pandemic led to unprecedented isolation and hampered programs aimed at preventing or reducing loneliness, many interventions were developed and evaluated. However, previous reviews provide limited or conflicting summaries of intervention effectiveness. This systematic review aimed to assess previous review quality and bias, as well as to summarize key findings into an overarching narrative on intervention efficacy. The authors searched nine electronic databases and indices to identify systematic reviews of interventions to reduce loneliness in older people prior to the COVID-19 pandemic; 6,925 records were found initially. Of these, 19 reviews met inclusion criteria; these encompassed 101 unique primary intervention studies that varied in research design, sample size, intervention setting, and measures of loneliness across 21 nations. While 42% of reviews had minimal risk of bias, only 8% of primary studies appraised similarly. Among the 101 unique articles reviewed, 63% of tested interventions were deemed by article author(s) as effective or partially effective. Generally, interventions that included animals, psychological therapies, and skill-building activities were more successful than interventions focused on social facilitation or health promotion. However, interventions that targeted multiple objectives aimed at reducing loneliness (e.g., improving social skills, enhancing social support, increasing social opportunities, and changing maladaptive social cognition) were more effective than single-objective interventions. Future programs should incorporate multiple approaches, and these interventions should be rigorously tested.

A Novel Implementation of a Social Robot for Sustainable Human Engagement in Homecare Services for Ageing Populations

This research addresses the rapid aging phenomenon prevalent in Asian societies, which has led to a significant increase in elderly individuals relocating to nursing homes due to health-related issues. This trend has resulted in social isolation and loneliness among the elderly, contributing to physical and mental ailments such as hypertension and cardiovascular diseases, as highlighted by the World Health Organization (WHO). To mitigate these issues, the research proposes leveraging technology, specifically the integration of robotics, to alleviate the caregiver shortage and enhance human interaction for the elderly. The novel approach involves developing a social robot designed to bridge the gap between humans and machines, combining knowledge from embedded systems, robotics, and essential soft skills for effective interaction. The authors found that this technological solution holds promise in addressing the caregiver shortage and improving the well-being of elderly individuals by reducing their sense of isolation, fostering better mental and physical health outcomes, and potentially transforming the landscape of elderly care through innovative technological applications. Future work includes expanding pilot studies and collaborating with healthcare institutions to further validate the effectiveness of the solution.

Efficacy of relational agents for loneliness across age groups: a systematic review and meta-analysis

BACKGROUND

Loneliness is a serious public health concern. Although previous interventions have had some success in mitigating loneliness, the field is in search of novel, more effective, and more scalable solutions. Here, we focus on "relational agents", a form of software agents that are increasingly powered by artificial intelligence and large language models (LLMs). We report on a systematic review and meta-analysis to investigate the impact of relational agents on loneliness across age groups.

METHODS

In this systematic review and meta-analysis, we searched 11 databases including Ovid MEDLINE and Embase from inception to Sep 16, 2022. We included randomised controlled trials and non-randomised studies of interventions published in English across all age groups. These loneliness interventions, typically attempt to improve social skills, social support, social interaction, and maladaptive cognitions. Peer-reviewed journal articles, books, book chapters, Master's and PhD theses, or conference papers were eligible for inclusion. Two reviewers independently screened studies, extracted data, and assessed risk of bias via the RoB 2 and ROBINS-I tools. We calculated pooled estimates of Hedge's g in a random-effects meta-analysis and conducted sensitivity and sub-group analyses. We evaluated publication bias via funnel plots, Egger's test, and a trim-and-fill algorithm.

FINDINGS

Our search identified 3,935 records of which 14 met eligibility criteria and were included in our meta-analysis. Included studies comprised 286 participants with individual study sample sizes ranging from 4 to 42 participants (x̄ = 20.43, s = 11.58, x̃ = 20). We used a Bonferroni correction with αBonferroni = 0.05 / 4 = 0.0125 and applied Knapp-Hartung adjustments. Relational agents reduced loneliness significantly at an adjusted αBonferroni (g = -0.552; 95% Knapp-Hartung CI, -0.877 to -0.226; P = 0.003), which corresponds to a moderate reduction in loneliness.

CONCLUSION

Our results are currently the most comprehensive of their kind and provide promising evidence for the efficacy of relational agents. Relational agents are a promising technology that can alleviate loneliness in a scalable way and that can be a meaningful complement to other approaches. The advent of LLMs should boost their efficacy, and further research is needed to explore the optimal design and use of relational agents. Future research could also address shortcomings of current results, such as small sample sizes and high risk of bias. Particularly young audiences have been overlooked in past research.

The Effect of Social Robots on Depression and Loneliness for Older Residents in Long-Term Care Facilities: A Meta-Analysis of Randomized Controlled Trials

OBJECTIVES

Depression and loneliness are challenges facing older residents living in long-term care facilities. Social robots might be a solution as nonpharmacologic interventions. The purpose of this study was to explore the effects of concrete forms of social robots on depression and loneliness in older residents in long-term care facilities by a systematic review and meta-analysis of randomized controlled trials.

DESIGN

This is a systematic review and meta-analysis.

SETTING AND PARTICIPANTS

Older residents in long-term care facilities.

METHODS

Six electronic databases of PubMed, Embase, Scopus, Web of Science, MEDLINE, and CINAHL plus were searched in August 2023. Random effect models of meta-analyses, subgroup analyses, and meta-regressions were performed for statistical analyses.

RESULTS

After evaluation, 8 studies were selected for both qualitative and quantitative synthesis. Social robot interventions had significant positive effects on decreasing depression and loneliness with large effect sizes. Group-based robot activities had a better effect on improving depression than individual-based robot activities. Longer durations of interventions produced significantly more improvement in depression.

CONCLUSION AND IMPLICATION

Social robots with physical manifestation provide the opportunity for older adults' social engagement and interactions with robots and others. Social robot interventions are recommended for older residents in long-term care facilities to promote psychosocial well-being in daily care routines.

Recommendations for designing conversational companion robots with older adults through foundation models

Companion robots are aimed to mitigate loneliness and social isolation among older adults by providing social and emotional support in their everyday lives. However, older adults' expectations of conversational companionship might substantially differ from what current technologies can achieve, as well as from other age groups like young adults. Thus, it is crucial to involve older adults in the development of conversational companion robots to ensure that these devices align with their unique expectations and experiences. The recent advancement in foundation models, such as large language models, has taken a significant stride toward fulfilling those expectations, in contrast to the prior literature that relied on humans controlling robots (i.e., Wizard of Oz) or limited rule-based architectures that are not feasible to apply in the daily lives of older adults. Consequently, we conducted a participatory design (co-design) study with 28 older adults, demonstrating a companion robot using a large language model (LLM), and design scenarios that represent situations from everyday life. The thematic analysis of the discussions around these scenarios shows that older adults expect a conversational companion robot to engage in conversation actively in isolation and passively in social settings, remember previous conversations and personalize, protect privacy and provide control over learned data, give information and daily reminders, foster social skills and connections, and express empathy and emotions. Based on these findings, this article provides actionable recommendations for designing conversational companion robots for older adults with foundation models, such as LLMs and vision-language models, which can also be applied to conversational robots in other domains.

Factors associated with intention to use care robots among people with physical disabilities

BACKGROUND

As the disabled population ages and the demand for care increases, Socially, the need for care robots is emerging but, perceptions of care robots among care recipients is unknown.

PURPOSE

To determine the level of intention to use care robots among care recipients and identify predictors of intention to use care robots.

METHODS

A cross-sectional survey was conducted using a convenience sample of 163 persons with disabilities from January to March 2022 at the Veterans Health Service Medical Center.

DISCUSSION

Overall, 64.42% of respondents intended to use care robots. Predictors included perceived behavioral control, participants' perceptions of the caregiver's burden, attitude toward robot use, subjective norms, and age.

CONCLUSION

These findings suggest that individuals who are community-dwelling desire the use care robots to maintain their independence and may provide useful insignt for the introduction various care robots in acute care and long-term care settings.

Effectiveness of animal-assisted therapy and pet-robot interventions in reducing depressive symptoms among older adults: A systematic review and meta-analysis

BACKGROUND

Systematic reviews suggest that animal-assisted therapy (AAT) and pet-robot interventions (PRI) achieve a reduction in mental health variables such as depressive symptoms. However, these systematic reviews include both randomised and non-randomised studies, which prevents an adequate assessment of the effect of confounding variables.

OBJECTIVE

This systematic review and meta-analysis aimed to evaluate the comparative effectiveness of AAT and PRI through randomized controlled trials (RCTs) in reducing depression in older adults.

METHODS

Our study is a systematic review. We searched three databases of scientific articles: SCOPUS, Web of Science and PubMed. We included studies that their population was older adults, aged 65 years or older, with or without a clinical condition, clinical diagnosis based on mental examination/test or documentation from medical records, accredited by the facilities' staff. We included trials in which the comparator was a passive intervention or an active intervention. We used the Cochrane risk-of-bias tool for randomised trials (RoB 2) to assess the risk of bias for each study. Our study was registered in PROSPERO (CRD42023393740).

RESULTS

Twenty-three studies were included in this systematic review. However, only 19 trials were included in the meta-analysis. At the overall risk of bias level, 78.9% of the studies were at high risk of bias (n = 15). We found that AAT (g= -0.72; 95%CI -1.13 to -0.31; p = 0.001) has a moderate and statistically significant effect as an intervention to reduce depressive symptoms in older adults. However, the PRIs do not show a significant effect on reducing depressive symptoms in older adults. In addition, a sub-analysis based on dog-assisted therapy (g= -0.65; 95%CI -1.21 to -0.08; p = 0.025), a specific type of AAT, showed a modest effect on reducing depressive symptoms.

CONCLUSIONS

Our study concluded that AAT and DAT had a moderate and statistically significant effect as interventions to reduce depressive symptoms in older adults. On the other hand, PRI did not show a significant effect in reducing depressive symptoms.

My Precious Friend: Human-Robot Interactions in Home Care for Socially Isolated Older Adults

OBJECTIVES

Using a friendship framework, we explored interactions between a multi-functional companion robot and older adults residing in a low-resource community in South Korea.

METHODS

We conducted in-depth interviews with 12 older adults who kept a doll-shaped companion robot called Hyodol for 18 months on average. We applied the Framework Analysis Method to explore three types of friendship (i.e., friendships of utility, pleasure, and the good) that participants cultivated with the robot.

RESULTS

The most common aspect of utility companionship reported by all participants was Hyodol's role as their health coach who reminded them to take medication and to exercise. Participants also found pleasure in playing with Hyodol and reported reduced feelings of loneliness. In the absence of other social supports, all participants also regarded Hyodol as a surrogate family member or human-friend, and interacted with Hyodol as such.

CONCLUSIONS

Findings illustrated high acceptability of Hyodol among these socially isolated older adults especially during the global COVID-19 pandemic, suggesting that a humanoid like Hyodol could be complementary to homecare services for solo-living older adults.

CLINICAL IMPLICATIONS

Well-designed robot interventions, as complements to existing aging service and clinical interventions, have a potential to improve health behaviors among socially isolated older adults.

Digital interventions to reduce social isolation and loneliness in older adults: An evidence and gap map

Background

Social isolation and loneliness are more common in older adults and are associated with a serious impact on their well-being, mental health, physical health, and longevity. They are a public health concern highlighted by the COVID-19 pandemic restrictions, hence the need for digital technology tools to enable remotely delivered interventions to alleviate the impact of social isolation and loneliness during the COVID-19 restrictions.

Objectives

To map available evidence on the effects of digital interventions to mitigate social isolation and/or loneliness in older adults in all settings except hospital settings.

Search Methods

We searched the following databases from inception to May 16, 2021, with no language restrictions. Ovid MEDLINE, Embase, APA PsycInfo via Ovid, CINAHL via EBSCO, Web of Science via Clarivate, ProQuest (all databases), International Bibliography of the Social Sciences (IBSS) via ProQuest, EBSCO (all databases except CINAHL), Global Index Medicus, and Epistemonikos.

Selection Criteria

Titles and abstracts and full text of potentially eligible articles were independently screened in duplicate following the eligibility criteria.

Data Collection and Analysis

We developed and pilot tested a data extraction code set in Eppi-Reviewer and data were individually extracted and coded based on an intervention-outcome framework which was also used to define the dimensions of the evidence and gap map.

Main Results

We included 200 articles (103 primary studies and 97 systematic reviews) that assessed the effects of digital interventions to reduce social isolation and/or loneliness in older adults. Most of the systematic reviews (72%) were classified as critically low quality, only 2% as high quality and 25% were published since the COVID-19 pandemic. The evidence is unevenly distributed with clusters predominantly in high-income countries and none in low-income countries. The most common interventions identified are digital interventions to enhance social interactions with family and friends and the community via videoconferencing and telephone calls. Digital interventions to enhance social support, particularly socially assistive robots, and virtual pets were also common. Most interventions focused on reducing loneliness and depression and improving quality of life of older adults. Major gaps were identified in community level outcomes and process indicators. No included studies or reviews assessed affordability or digital divide although the value of accessibility and barriers caused by digital divide were discussed in three primary studies and three reviews. Adverse effects were reported in only two studies and six reviews. No study or review included participants from the LGBTQIA2S+ community and only one study restricted participants to 80 years and older. Very few described how at-risk populations were recruited or conducted any equity analysis to assess differences in effects for populations experiencing inequities across PROGRESS-Plus categories.

Authors' Conclusions

The restrictions placed on people during the pandemic have shone a spotlight onto social isolation and loneliness, particularly for older adults. This evidence and gap map shows available evidence on the effectiveness of digital interventions for reducing social isolation or loneliness in older adults. Although the evidence is relatively large and recent, it is unevenly distributed and there is need for more high-quality research. This map can guide researchers and funders to consider areas of major gaps as priorities for further research.

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 Loneliness in Younger People: Review of the Opportunities and Challenges for Loneliness Interventions

Loneliness affects the quality of life of people all around the world. Loneliness is also shown to be directly associated with mental health issues and is often the cause of mental health problems. It is also shown to increase the risk of heart diseases and other physical illnesses. Loneliness is studied both from the social and medical sciences perspectives. There are also interventions on the basis of health informatics, information and communication technologies (ICTs), social media, and other technological solutions. In the literature, loneliness is studied from various angles and perspectives ranging from biological to socioeconomical and through anthropological understandings of technology. From the ICT and technological sides, there are multiple reviews studying the effectiveness of intervention strategies and solutions. However, there is a lack of a comprehensive review on loneliness that engulfs the psychological, social, and technological studies of loneliness. From the perspective of loneliness informatics (ie, the application of health informatics practices and tools), it is important to understand the psychological and biological basis of loneliness. When it comes to technological interventions to fight off loneliness, the majority of interventions focus on older people. While loneliness is highest among older people, theoretical and demographical studies of loneliness give a U-shaped distribution age-wise to loneliness; that is, younger people and older people are the demographics most affected by loneliness. But the strategies and interventions designed for older people cannot be directly applied to younger people. We present the dynamics of loneliness in younger people and also provide an overview of the technological interventions for loneliness in younger people. This paper presents an approach wherein the studies carried out from the perspectives of digital health and informatics are discussed in detail. A comprehensive overview of the understanding of loneliness and the study of the overall field of tools and strategies of loneliness informatics was carried out. The need to study loneliness in younger people is addressed and particular digital solutions and interventions developed for younger people are presented. This paper can be used to overcome the challenges of technological gaps in the studies and strategies developed for loneliness. The findings of this study show that the majority of interventions and reviews are focused on older people, with ICT-based and social media-based interventions showing promise for countering the effects of loneliness. There are new technologies, such as conversational agents and robots, which are tailored to the particular needs of younger people. This literature review suggests that the digital solutions developed to overcome loneliness can benefit people, and younger people in particular, more if they are made interactive in order to retain users.

Can technology impact loneliness in dementia? A scoping review on the role of assistive technologies in delivering psychosocial interventions in long-term care

PURPOSE

We aimed to identify assistive technologies that are promising for addressing loneliness in people living with dementia in long-term care.

MATERIALS AND METHODS

A scoping review was conducted. EBSCO, PubMed, Cochrane Library, and ProQuest were searched from 2000 to 2020. The included studies were selected by three independent researchers and summarised, compared, and categorized according to technology type. Publications were eligible for inclusion when they reported on psychosocial interventions aiming to reduce loneliness and/or social isolation in people with dementia in long-term care settings.

RESULTS

Twenty-four papers were included (20 original research papers and four reviews). Most studies were conducted in Australia and Europe. The studies aimed to investigate two different types of assistive technology: social robots, and multimedia computer systems. Most studies focussed on behaviour, engagement, and mood as primary outcomes. Only one study directly aimed to alleviate loneliness.

CONCLUSIONS

Even though only one study addressed loneliness directly, it became clear that assistive technologies used to apply psychosocial interventions have the potential to impact loneliness in people with dementia in long-term care. However, it remains unclear why loneliness was not included as an outcome and how loneliness could become a key outcome in evaluating assistive technologies.IMPLICATIONS FOR REHABILITATIONLoneliness among older adults is associated with health risks, such as the development of dementia, depression, and increased mortality.Ambient Assisted Living (AAL) technologies have been studied to address loneliness for older adults; however people with dementia are often excluded from such studies.This diverse group of technologies is shown to have a promising impact on outcomes, such as social engagement, quality of life, and mood, but loneliness was studied less often.More research is needed to discover the potential of assistive technologies for people with dementia living in long-term care.

Staging Paro: The care of making robot(s) care

Paro, a baby seal robot, is arguably the best-known care robot worldwide. Its clinical effects on people with special needs have been studied for more than twenty years by multidisciplinary teams. However, there are very few studies of Paro 'in the wild', inserted in the routines and pressures of a care home, which is supposed to be Paro's natural environment. Based on fieldwork in a French public nursing home, this article relocates Paro's psychosocial effects - asserted by its corporate and academic advocates to stem from the robot's software and user-friendly design - in the situated practice of care deployed by the nursing staff. Although it is commonly assumed that the robot can interact autonomously, thanks to its AI, it took considerable efforts to enable 'patient-robot' interactions, and interactions were always mediated by care staff. The supervision of the interaction between Paro and its user(s) by at least one care worker, prescribed by its sales representative to prevent the seal robot from being harmed or monopolized by a resident, thus framed the very course and meaning of the interaction, through an entanglement of verbal and tactile guidance. Staging Paro often meant awakening and maintaining interest from confused or passive users, and playing with its ontological flexibility to meet the preferences of its elderly interlocutors.

The Effects of Stakeholder Perceptions on the Use of Humanoid Robots in Care for Older Adults: Postinteraction Cross-Sectional Study

BACKGROUND

Efficient use of humanoid social robots in the care for older adults requires precise knowledge of expectations in this area. There is little research in this field that includes the interaction of stakeholders with the robot. Even fewer studies have compared the perceptions of older people (as care recipients) and professional caregivers (representing those taking care of older adults in teams with robots).

OBJECTIVE

The aim of this study was to analyze whether specific aspects of the perceptions about humanoid robots influence attitudes after interacting with the robot and to compare the opinions of different stakeholders (older people and their professional caregivers) on this topic. We analyzed the potential impact of the differences in perception of the robot between stakeholder groups with respect to how the robot should be designed and tailored to fit the specific needs of future users. We also attempted to define areas where targeted educational activities could bring the attitudes of the two groups of stakeholders closer to each other.

METHODS

The studied group was a conveniently available sample of individuals who took part in the presentation of and interaction with a humanoid social robot. Among them, there were 48 community-dwelling older adults (aged ≥60 years), who were participants of day care units (which may signal the presence of self-care needs), and 53 professional caregivers. The participants were asked to express their views after an interaction with a humanoid social robot (TIAGo) using the Users' Needs, Requirements and Abilities Questionnaire (UNRAQ) and the Godspeed Questionnaire Series (GQS).

RESULTS

Compared to the caregivers, older adults not only assessed the robot more positively with respect to its roles as a companion and assistant (P=.009 and P=.003, respectively) but also had higher scores on their need to increase their knowledge about the robot (P=.049). Regarding the robot's functions, the greatest differences between groups were observed for the social aspects on the UNRAQ, including decreasing the sense of loneliness (P=.003) and accompanying the user in everyday activities (P=.005). As for the GQS, the mean scores of the Animacy, Likeability, and Perceived Intelligence scales were significantly higher for older participants than for caregivers (P=.04, P<.001, and P<.001, respectively). The only parameter for which the caregivers' scores were higher than those of the older adults was the Artificial-Lifelike item from the Anthropomorphism scale of the GQS (P=.03).

CONCLUSIONS

The acceptance of the social functions of a humanoid robot is related to its perception in all analyzed aspects, whereas the expected usefulness of a care robot is not linked to aspects of anthropomorphism. Successful implementation of robots in the care for older people thus depends on considering not only the fears, needs, and requirements of various stakeholders but also on the perceptions of the robot. Given the differences between the stakeholders, targeted and properly structured educational and training activities for caregivers and prospective users may enable a seamless integration of robotic technologies in care provision.

Exploring Differential Perceptions of Artificial Intelligence in Health Care Among Younger Versus Older Canadians: Results From the 2021 Canadian Digital Health Survey

BACKGROUND

The changing landscape of health care has led to the incorporation of powerful new technologies like artificial intelligence (AI) to assist with various services across a hospital. However, despite the potential outcomes that this tool may provide, little work has examined public opinion regarding their use.

OBJECTIVE

In this study, we aim to explore differences between younger versus older Canadians with regard to the level of comfort and perceptions around the adoption and use of AI in health care settings.

METHODS

Using data from the 2021 Canadian Digital Health Survey (n=12,052), items related to perceptions about the use of AI as well as previous experience and satisfaction with health care were identified. We conducted Mann-Whitney U tests to compare the level of comfort of younger versus older Canadians regarding the use of AI in health care for a variety of purposes. Multinomial logistic regression was used to predict the comfort ratings based on categorical indicators.

RESULTS

Younger Canadians had greater knowledge of AI, but older Canadians were more comfortable with AI applied to monitoring and predicting health conditions, decision support, diagnostic imaging, precision medicine, drug and vaccine development, disease monitoring at home, tracking epidemics, and optimizing workflow to save time. Additionally, for older respondents, higher satisfaction led to higher comfort ratings. Only 1 interaction effect was identified between previous experience, satisfaction, and comfort with AI for drug and vaccine development.

CONCLUSIONS

Older Canadians may be more open to various applications of AI within health care than younger Canadians. High satisfaction may be a critical criterion for comfort with AI, especially for older Canadians. Additionally, in the case of drug and vaccine development, previous experience may be an important moderating factor. We conclude that gaining a greater understanding of the perceptions of all health care users is integral to the implementation and sustainability of new and cutting-edge technologies in health care settings.

Exploring the utility of robots as distractors during a delay-of-gratification task in preschool children

The development of executive function (EF) in children, particularly with respect to self-regulation skills, has been linked to long-term benefits in terms of social and health outcomes. One such skill is the ability to deal with frustrations when waiting for a delayed, preferred reward. Although robots have increasingly been utilized in educational situations that involve teaching psychosocial skills to children, including various aspects related to self-control, the utility of robots in increasing the likelihood of self-imposed delay of gratification remains to be explored. Using a single-case experimental design, the present study exposed 24 preschoolers to three experimental conditions where a choice was provided between an immediately available reward and a delayed but larger reward. The likelihood of waiting increased over sessions when children were simply asked to wait, but waiting times did not increase further during a condition where teachers offered activities as a distraction. However, when children were exposed to robots and given the opportunity to interact with them, waiting times for the majority of children increased with medium to large effect sizes. Given the positive implications of strong executive function, how it might be increased in children in which it is lacking, limited, or in the process of developing, is of considerable import. This study highlights the effectiveness of robots as a distractor during waiting times and outlines a potential new application of robots in educational contexts.

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.

Robots in Assisted Living Facilities: Scoping Review

BACKGROUND

Various technological interventions have been proposed and studied to address the growing demand for care of residents in assisted living facilities, in which a preexisting shortage of professional caregivers has been exacerbated by the COVID-19 pandemic. Care robots are one such intervention with the potential to improve both the care of older adults and the work life of their professional caregivers. However, concerns about efficacy, ethics, and best practices in the applications of robotic technologies in care settings remain.

OBJECTIVE

This scoping review aimed to examine the literature on robots used in assisted living facilities and identify gaps in the literature to guide future research.

METHODS

On February 12, 2022, following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) protocol, we searched PubMed, CINAHL Plus with Full Text, PsycINFO, IEEE Xplore digital library, and ACM Digital Library using predetermined search terms. Publications were included if they were written in English and focused on the use of robotics in assisted living facilities. Publications were excluded if they did not provide peer-reviewed empirical data, focused on user needs, or developed an instrument to study human-robot interaction. The study findings were then summarized, coded, and analyzed using the Patterns, Advances, Gaps, Evidence for practice, and Research recommendations framework.

RESULTS

The final sample included 73 publications from 69 unique studies on the use of robots in assisted living facilities. The findings of studies on older adults were mixed, with some studies suggesting positive impacts of robots, some expressing concerns about robots and barriers to their use, and others being inconclusive. Although many therapeutic benefits of care robots have been identified, methodological limitations have weakened the internal and external validity of the findings of these studies. Few studies (18/69, 26%) considered the context of care: most studies (48/69, 70%) collected data only on recipients of care, 15 studies collected data on staff, and 3 studies collected data on relatives or visitors. Theory-driven, longitudinal, and large sample size study designs were rare. Across the authors' disciplines, a lack of consistency in methodological quality and reporting makes it difficult to synthesize and assess research on care robotics.

CONCLUSIONS

The findings of this study call for more systematic research on the feasibility and efficacy of robots in assisted living facilities. In particular, there is a dearth of research on how robots may change geriatric care and the work environment within assisted living facilities. To maximize the benefits and minimize the consequences for older adults and caregivers, future research will require interdisciplinary collaboration among health sciences, computer science, and engineering as well as agreement on methodological standards.

Effects of a cognitive-based intervention program using social robot PIO on cognitive function, depression, loneliness, and quality of life of older adults living alone

Objective

Social robot interventions are being implemented to reduce cognitive decline, depression, and loneliness among older adults. However, the types, functions, and programs of effective social robots have not yet been confirmed. This study investigated whether a social robot intervention is effective in improving cognitive function, depression, loneliness, and quality of life in older adults living alone.

Methods

This study used a non-equivalent control group pre-test-post-test design. It was conducted twice a week, with each session lasting 50 mi; twelve sessions were conducted over 6 weeks. This study was conducted at three senior welfare centers in Korea. In each group, 10 or fewer participants used the PIO social robot. The total participants included 64 people in the experimental (n = 31) and control groups (n = 33), and consisted of older people over 65 years of age living alone.

Results

There was a statistically significant difference in the pre-post values for cognitive function (z = 5.21, p < 0.001), depression (z = -2.99, p = 0.003), and loneliness (t = -4.27, p < 0.001) in the experimental and control groups. However, there was no statistically significant difference for quality of life (z = 1.84, p = 0.066).

Conclusions

It was confirmed that a cognitive intervention program using the social robot PIO can improve cognitive function and reduce depression and loneliness in older adults living alone.

Distributed Caregiving for Cognitively Impaired Individuals: A Case Report

Many caregivers of people with cognitive impairment spend a significant amount of their time helping patients with instrumental daily functions. Distributed caregiving is an innovative model designed to reduce an individual caregiver's time burden and increase the likelihood of continued independent living for the patient. Echo Show and Google Home platforms were used to enable the participation of remote family members in caregiving, specifically the socialization and entertainment of a person with cognitive impairment. Caregiver interviews, review of medical records, and case study analysis were used to measure caregiver burden, after distributing some components of caregiving to distant family members with human-in-the-loop artificial intelligence. This case explores the use of Alexa, Echo Show, and other commercial technologies in the management of a patient with cognitive impairment. The human-in-the-loop system introduced in this case study is a creative, accessible, low-cost, and sustainable way to potentially reduce caregiver burden and improve patient outcomes with targeted intervention. Targeted distributed caregiving reduced time spent in caregiving, reduced caregiver guilt and frustration, improved patient's compliance with requests for behavior changes (e.g., voiding before leaving the house), and improved the relationship between the caregiver and the person with cognitive impairment. This case study demonstrates how distributed caregiving, including human-in-the-loop artificial intelligence, can lead to better use of technology in reducing the social isolation of persons with cognitive impairment and in reducing caregiver burden.

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.

Voice Over Body? Older Adults' Reactions to Robot and Voice Assistant Facilitators of Group Conversation

Intelligent agents have great potential as facilitators of group conversation among older adults. However, little is known about how to design agents for this purpose and user group, especially in terms of agent embodiment. To this end, we conducted a mixed methods study of older adults' reactions to voice and body in a group conversation facilitation agent. Two agent forms with the same underlying artificial intelligence (AI) and voice system were compared: a humanoid robot and a voice assistant. One preliminary study (total n = 24) and one experimental study comparing voice and body morphologies (n = 36) were conducted with older adults and an experienced human facilitator. Findings revealed that the artificiality of the agent, regardless of its form, was beneficial for the socially uncomfortable task of conversation facilitation. Even so, talkative personality types had a poorer experience with the "bodied" robot version. Design implications and supplementary reactions, especially to agent voice, are also discussed.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12369-022-00925-7.

Effects of technology-assisted interventions for people with dementia: A systematic review and meta-analysis

PURPOSE

The use of technology-assisted interventions in dementia care contributes to increased communication, reduced burden on the caregivers, improved health outcomes, and improved expense management. Technology-assisted interventions can be provided remotely to monitor, improve, and enable home care, benefiting the health of both patients and caregivers. Despite increasing use, the effectiveness of technology-assisted interventions for dementia care remains uncertain, with studies reporting inconclusive findings subject to interpretation. Therefore, the current study investigated the available evidence to explore the efficacy of technology-assisted interventions for people with dementia.

DESIGN

Systematic review and meta-analysis.

METHODS

The study was preregistered with the PROSPERO international prospective register of systematic reviews using a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-guided protocol. The primary search was conducted in eight databases from database inception to January 29, 2022. Using a random-effects model, the standardized mean differences (SMDs) with 95% confidence intervals (CIs) were synthesized to obtain pooled effect sizes (using Stata 16.0). The updated Cochrane Risk of Bias 2 tool (RoB-2) was used to evaluate the methodological quality of the studies.

FINDINGS

A pooled analysis of 12 trials, including 584 people with dementia, showed more improvement associated with technology-assisted interventions compared with standard care, including in the domains of cognitive function (SMD = 0.39; 95% CI: 0.14 to 0.64; p < 0.001) and depression (SMD = -0.75; 95% CI: -1.33 to -0.17; p = 0.01). However, no significant effects were observed for activities of daily living (ADL) or quality of life.

CONCLUSION

Technology-assisted interventions appear to improve cognitive function and reduce depression in people with dementia compared with standard care.

CLINICAL RELEVANCE

This study may be used to demonstrate that interventions incorporating many modalities or technologies can be used to enhance dementia care, which may improve favorable outcomes when using technology-assisted interventions to remotely initiate appropriate activities for people with dementia. Because technology allows for simultaneous communication and access to shared multimedia, it removes environmental constraints and allows treatment to be administered remotely.

Artificial intelligence in elderly healthcare: A scoping review

The ageing population has led to a surge in the adoption of artificial intelligence (AI) technologies in elderly healthcare worldwide. However, in the advancement of AI technologies, there is currently a lack of clarity about the types and roles of AI technologies in elderly healthcare. This scoping review aimed to provide a comprehensive overview of AI technologies in elderly healthcare by exploring the types of AI technologies employed, and identifying their roles in elderly healthcare based on existing studies. A total of 10 databases were searched for this review, from January 1 2000 to July 31 2022. Based on the inclusion criteria, 105 studies were included. The AI devices utilized in elderly healthcare were summarised as robots, exoskeleton devices, intelligent homes, AI-enabled health smart applications and wearables, voice-activated devices, and virtual reality. Five roles of AI technologies were identified: rehabilitation therapists, emotional supporters, social facilitators, supervisors, and cognitive promoters. Results showed that the impact of AI technologies on elderly healthcare is promising and that AI technologies are capable of satisfying the unmet care needs of older adults and demonstrating great potential in its further development in this area. More well-designed randomised controlled trials are needed in the future to validate the roles of AI technologies in elderly healthcare.

Effectiveness of Technology Interventions in Addressing Social Isolation, Connectedness, and Loneliness in Older Adults: Systematic Umbrella Review

BACKGROUND

The global population of older adults (aged >60 years) is expected to triple to 2 billion by 2050. Proportionate rises in older adults affected by loneliness and social isolation (or social connectedness) are expected. Rapid deployability and social changes have increased the availability of technological devices, creating new opportunities for older adults.

OBJECTIVE

This study aimed to identify, synthesize, and critically appraise the effectiveness of technology interventions improving social connectedness in older adults by assessing the quality of reviews, common observations, and derivable themes.

METHODS

Following the guidelines of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), 4 databases (PsycINFO, PubMed, Embase, and MEDLINE) were searched between February 2020 and March 2022. We identified reviews with adults aged ≥50 years in community and residential settings, reporting outcomes related to the impact of technologies on social disconnectedness with inclusion criteria based on the population, intervention, context, outcomes, and study schema-review-type articles (systematic, meta-analyses, integrative, and scoping)-and with digital interventions included. Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) was used to measure the strength of outcome recommendations including the risk of bias. The reviews covered 326 primary studies with 79,538 participants. Findings were extracted, synthesized, and organized according to emerging themes.

RESULTS

Overall, 972 publications met the initial search criteria, and 24 met our inclusion criteria. Revised Assessment of Multiple Systematic Reviews was used to assess the quality of the analysis. Eligible reviews (3/24, 12%) were excluded because of their low Revised Assessment of Multiple Systematic Reviews scores (<22). The included reviews were dedicated to information and communications technology (ICT; 11/24, 46%), videoconferencing (4/24, 17%), computer or internet training (3/24, 12%), telecare (2/24, 8%), social networking sites (2/24, 8%), and robotics (2/27, 8%). Although technology was found to improve social connectedness, its effectiveness depended on study design and is improved by shorter durations, longer training times, and the facilitation of existing relationships. ICT and videoconferencing showed the best results, followed by computer training. Social networking sites achieved mixed results. Robotics and augmented reality showed promising results but lacked sufficient data for informed conclusions. The overall quality of the studies based on GRADE was medium low to very low.

CONCLUSIONS

Technology interventions can improve social connectedness in older adults. The specific effectiveness rates favor ICT and videoconferencing, but with limited evidence, as indicated by low GRADE ratings. Future intervention and study design guidelines should carefully assess the methodological quality of studies and the overall certainty of specific outcome measures. The lack of randomized controlled trials in underlying primary studies (<28%) and suboptimal methodologies limited our findings. Robotics and augmented or virtual reality warrant further research. Low GRADE scores highlight the need for high-quality research in these areas.

TRIAL REGISTRATION

PROSPERO CRD42022363475; https://tinyurl.com/mdd6zds.

Interventions Associated With Reduced Loneliness and Social Isolation in Older Adults: A Systematic Review and Meta-analysis

Importance

Loneliness and social isolation are public health concerns faced by older adults due to physical, cognitive, and psychosocial changes that develop with aging. Loneliness and social isolation are associated with increased morbidity and mortality.

Objective

To evaluate interventions, targeting older adults, associated with a reduction in loneliness and social isolation.

Data Sources

OVID, CINAHL, CENTRAL, Embase, PsychINFO, Web of Science, and Scopus were searched from inception to March 2020.

Study Selection

Peer-reviewed randomized clinical trials measuring loneliness and social isolation or support in adults aged 65 years or older. Only English language articles were included.

Data Extraction and Synthesis

Two independent reviewers screened studies, extracted data, and assessed risk of bias. Random-effects models were performed to pool the overall effect size by intervention. Statistical heterogeneity was evaluated with the I2 statistic and by estimating prediction intervals. Data were analyzed from November 2021 to September 2022.

Main Outcomes and Measures

Quantitative measures of loneliness, social isolation, or social support based on an effect size of standardized mean differences.

Results

Seventy studies were included in the systematic review (8259 participants); 44 studies were included in the loneliness meta-analysis (33 in the community with 3535 participants; 11 in long-term care with 1057 participants), with participants' ages ranging from 55 to 100 years. Study sizes ranged from 8 to 741 participants. Interventions included animal therapy, psychotherapy or cognitive behavioral therapy, multicomponent, counseling, exercise, music therapy, occupational therapy, reminiscence therapy, social interventions, and technological interventions. Most interventions had a small effect size. Animal therapy in long-term care, when accounting for studies with no active controls, had the largest effect size on loneliness reduction (-1.86; 95% CI, -3.14 to -0.59; I2 = 86%) followed by technological interventions (videoconferencing) in long-term care (-1.40; 95% CI, -2.37 to -0.44; I2 = 70%).

Conclusions and Relevance

In this study, animal therapy and technology in long-term care had large effect sizes, but also high heterogeneity, so the effect size's magnitude should be interpreted with caution. The small number of studies per intervention limits conclusions on sources of heterogeneity. Overall quality of evidence was very low. Future studies should consider measures of social isolation in long-term care and identify the contextual components that are associated with a reduction in loneliness.

A Meta-Analysis on Remote HRI and In-Person HRI: What Is a Socially Assistive Robot to Do?

Recently, due to the COVID-19 pandemic and the related social distancing measures, in-person activities have been significantly reduced to limit the spread of the virus, especially in healthcare settings. This has led to loneliness and social isolation for our most vulnerable populations. Socially assistive robots can play a crucial role in minimizing these negative affects. Namely, socially assistive robots can provide assistance with activities of daily living, and through cognitive and physical stimulation. The ongoing pandemic has also accelerated the exploration of remote presence ranging from workplaces to home and healthcare environments. Human-robot interaction (HRI) researchers have also explored the use of remote HRI to provide cognitive assistance in healthcare settings. Existing in-person and remote comparison studies have investigated the feasibility of these types of HRI on individual scenarios and tasks. However, no consensus on the specific differences between in-person HRI and remote HRI has been determined. Furthermore, to date, the exact outcomes for in-person HRI versus remote HRI both with a physical socially assistive robot have not been extensively compared and their influence on physical embodiment in remote conditions has not been addressed. In this paper, we investigate and compare in-person HRI versus remote HRI for robots that assist people with activities of daily living and cognitive interventions. We present the first comprehensive investigation and meta-analysis of these two types of robotic presence to determine how they influence HRI outcomes and impact user tasks. In particular, we address research questions regarding experience, perceptions and attitudes, and the efficacy of both humanoid and non-humanoid socially assistive robots with different populations and interaction modes. The use of remote HRI to provide assistance with daily activities and interventions is a promising emerging field for healthcare applications.

Eliciting a User's Preferences by the Self-Disclosure of Socially Assistive Robots in Local Households of Older Adults to Facilitate Verbal Human-Robot Interaction

To realize a society in which older adults can live independently in their homes and familiar environments for as long as possible, their lives can be supported by providing appropriate technology. In this case, a new intervention for older people using socially assistive robots (SARs) is proposed; however, previous research has demonstrated that individual differences exist in the use and response to SAR interventions, and it has also been reported that SARs are not used by users in some cases. Therefore, in this study, we developed a self-disclosure function to promote continuous interaction with robots, using a Japanese corpus and self-disclosure items. In this study, we defined the specific requirements and functions of self-disclosure in SARs and developed ten non-arbitrary speech scripts from the field of social psychology using a Japanese corpus and self-disclosure items. To evaluate the effect of self-disclosure in SARs, an SAR was introduced to each household for 20 days, with the consent of seven community-dwelling older adults. Based on the recorded voice interaction data, we analyzed how the number, total time, and quality of verbal interactions changed with the SAR's self-disclosure. Furthermore, we conducted group interviews with the participants and received positive comments regarding the robot's self-disclosure. Some participants considered the specific personality of the SAR by accumulating its behavioral characteristics. As a consequence, these results indicate that the robot's self-disclosure feature is effective in significantly increasing the quantity and quality of verbal interactions with older adults.

Association between loneliness and acceptance of using robots and pets as companions among older Chinese immigrants during the COVID-19 pandemic

OBJECTIVES

To examine loneliness experienced by middle-aged and older Chinese immigrants and its association with accepting technology as a companion (apps, Internet and robots) versus owning pets, when social distancing measures were implemented in New Zealand during the first COVID-19 outbreak.

METHODS

This study conducted a community-based cross-sectional survey. Chinese immigrants who were 45-87 years old (n = 173) were invited to answer an online survey in the Chinese language, collecting demographic data, responses to the 6-item De Jong Gierveld Loneliness Scale and experiences in using technology and pet ownership. Descriptive analyses and inferential statistics tests were utilised in the data analysis.

RESULTS

A moderate level of overall loneliness with a mean score of 3.68 (SD 1.84), ranging from 0 to 6, was reported by participants. Emotional and social loneliness ranged from 0 to 3 with mean scores of 1.69 (SD 0.98) and 1.99 (SD 1.24), respectively. Self-reported health, financial status, English language abilities, transportation and experiences of using the Internet and apps were significantly related to experiencing loneliness. Loneliness had a weak association with acceptance of robots and pets, but 67.8% and 58.3% of participants who felt lonely, accepted companionship of robots and pets, respectively.

CONCLUSIONS

The level of loneliness among older and middle-aged immigrants increased during the COVID-19 pandemic. Further evidence of the specific dimensions of loneliness and the utility of technology to alleviate loneliness among immigrant groups is needed. Interventions tailored for older people with specific cultural requirements to address loneliness are needed.

Cognitive Learning and Robotics: Innovative Teaching for Inclusivity

We present the interdisciplinary CoWriting Kazakh project in which a social robot acts as a peer in learning the new Kazakh Latin alphabet, to which Kazakhstan is going to shift from the current Kazakh Cyrillic by 2030. We discuss the past literature on cognitive learning and script acquisition in-depth and present a theoretical framing for this study. The results of word and letter analyses from two user studies conducted between 2019 and 2020 are presented. Learning the new alphabet through Kazakh words with two or more syllables and special native letters resulted in significant learning gains. These results suggest that reciprocal Cyrillic-to-Latin script learning results in considerable cognitive benefits due to mental conversion, word choice, and handwriting practices. Overall, this system enables school-age children to practice the new Kazakh Latin script in an engaging learning scenario. The proposed theoretical framework illuminates the understanding of teaching and learning within the multimodal robot-assisted script learning scenario and beyond its scope.

Methodologies Used to Study the Feasibility, Usability, Efficacy, and Effectiveness of Social Robots For Elderly Adults: Scoping Review

Background

New research fields to design social robots for older people are emerging. By providing support with communication and social interaction, these robots aim to increase quality of life. Because of the decline in functioning due to cognitive impairment in older people, social robots are regarded as promising, especially for people with dementia. Although study outcomes are hopeful, the quality of studies on the effectiveness of social robots for the elderly is still low due to many methodological limitations.

Objective

We aimed to review the methodologies used thus far in studies evaluating the feasibility, usability, efficacy, and effectiveness of social robots in clinical and social settings for elderly people, including persons with dementia.

Methods

Dedicated search strings were developed. Searches in MEDLINE (PubMed), Web of Science, PsycInfo, and CINAHL were performed on August 13, 2020.

Results

In the 33 included papers, 23 different social robots were investigated for their feasibility, usability, efficacy, and effectiveness. A total of 8 (24.2%) studies included elderly persons in the community, 9 (27.3%) included long-term care facility residents, and 16 (48.5%) included people with dementia. Most of the studies had a single aim, of which 7 (21.2%) focused on efficacy and 7 (21.2%) focused on effectiveness. Moreover, forms of randomized controlled trials were the most applied designs. Feasibility and usability were often studied together in mixed methods or experimental designs and were most often studied in individual interventions. Feasibility was often assessed with the Unified Theory of the Acceptance and Use of Technology model. Efficacy and effectiveness studies used a range of psychosocial and cognitive outcome measures. However, the included studies failed to find significant improvements in quality of life, depression, and cognition.

Conclusions

This study identified several shortcomings in methodologies used to evaluate social robots, resulting in ambivalent study findings. To improve the quality of these types of studies, efficacy/effectiveness studies will benefit from appropriate randomized controlled trial designs with large sample sizes and individual intervention sessions. Experimental designs might work best for feasibility and usability studies. For each of the 3 goals (efficacy/effectiveness, feasibility, and usability) we also recommend a mixed method of data collection. Multiple interaction sessions running for at least 1 month might aid researchers in drawing significant results and prove the real long-term impact of social robots.

Socially assistive robots on the market : Experiences from inpatient care and potentials for care at home

BACKGROUND

The article addresses commercial socially assistive robots (SAR). There is evidence of the impact of SAR on older persons in institutional settings. Family care at home has not yet been the subject of systematic research; however, especially at home SAR could help to prevent loneliness, provide emotional support, and foster communication.

OBJECTIVE

Inspired by evidence on the potential impact of SAR, the article analyzes their potential for supporting family care at home. A participatory research and development (R&D) project stands as an example of how SAR can improve communication and relations at home.

MATERIAL AND METHODS

Apart from the results of selected randomized controlled trials (RCT) in institutional settings, the article provides results from tests that were run in the R&D project.

RESULTS

SAR can increase the quality of life of users at home. They are capable of improving relations within family care. They inspire communication, change routines, and provide relief to family caregivers; however, it takes trained human companions to support the use of SAR at home and address ethical aspects.

CONCLUSION

If SAR are supposed to deliver their potential for care at home, older persons and their caregivers must be actively involved in research and development. These processes must be systematically evaluated.

Exploring the effect of implementing affordable socially assistive pet robots in eight care homes before and during the COVID-19 pandemic: a stratified cluster randomised controlled trial and mixed-method study

Background

Robot pets may assist in the challenges of supporting an aging population with growing dementia prevalence. Prior work has focused on the impacts of the robot seal Paro on older adult well-being, but recent studies have suggested the good acceptability and implementation feasibility of more affordable devices (Joy for All [JfA] cats and dogs).

Objective

We aimed to address the limited effectiveness research on JfA devices.

Methods

We conducted an 8-month, stratified, cluster randomized controlled trial in 8 care homes in Cornwall, United Kingdom. Over 4 months, 4 care homes each received 2 JfA devices (1 cat and 1 dog; intervention group), and 4 homes received care as usual (control group). Psychometrics were collected before and after the intervention to compare the change from baseline to follow-up between the groups. In the final 4 months, all 8 care homes received devices, but only qualitative data were collected owing to COVID-19 and reduced capacity. The primary outcome was neuropsychiatric symptoms (Neuropsychiatric Inventory [NPI] Nursing Home version). Care provider burden was a secondary outcome (occupational disruptiveness NPI subscale), alongside the Challenging Behavior scale, the Holden communication scale, the Campaign to End Loneliness questionnaire, and medication use. Qualitative data were collected through care staff observation calendars and end-of-study interviews to understand use, experience, and impact. We also collected demographic data and assessed dementia severity. In total, 253 residents had robot interaction opportunities, and 83 were consented for direct data collection.

Results

There was a significant difference in the total change from baseline to follow-up between the intervention and control groups for NPI (P<.001) and occupational disruptiveness (P=.03). Neuropsychiatric symptoms increased in the control group and decreased in the intervention group. No significant difference was seen for communication issues or challenging behavior. For NPI subdomains, there were significant differences from baseline to follow-up in delusions (P=.03), depression (P=.01), anxiety (P=.001), elation (P=.02), and apathy (P=.009), all of which decreased in the intervention group and increased slightly in the control group. The summative impact results suggested that most residents (46/54, 85%) who interacted with robots experienced a positive impact. Those who interacted had significantly higher dementia severity scores (P=.001). The qualitative results suggested good adoption, acceptability, and suitability for subjectively lonely individuals and lack of a novelty effect through sustained use, and demonstrated that the reasons for use were entertainment, anxiety, and agitation.

Conclusions

Affordable robot pets hold potential for improving the well-being of care home residents and people with dementia, including reducing neuropsychiatric symptoms and occupational disruptiveness. This work suggests no novelty effect and contributes toward understanding robot pet suitability. Moreover, interactions were more common among residents with more moderate/severe dementia and those subjectively lonely.

Trial Registration

ClinicalTrials.gov NCT04168463; https://www.clinicaltrials.gov/ct2/show/NCT04168463

The effect of robot interventions on sleep in adults: a systematic review and network meta-analysis

STUDY OBJECTIVES

Robotic pets or companion robots have demonstrated positive effects on several emotional and physiological factors in humans. Robots could constitute a complementary or alternative method to treat sleep problems, but individual studies on robots' effectiveness regarding sleep show mixed results. The aim of the current study was to compare the effects of robots, plush toys, and treatment as usual on sleep in adults.

METHODS

The current study is a systematic review and frequentist network meta-analysis of all randomized and cluster randomized controlled trials comparing the effects of robots, plush toys, and treatment as usual on total sleep time in adults.

RESULTS

Four studies were included in the analysis. Three studies were considered to have a high risk of bias, whereas one was rated with some concerns. The studies comprised 381 participants. These participants were older adults, with or without dementia, living in nursing homes. The total sleep time was the only common sleep measure included in all 4 studies. The network meta-analysis showed no statistically significant differences between the 3 experimental groups.

CONCLUSIONS

The robot interventions were not found to have positive effects on total sleep time in older adults compared with plush toys or treatment as usual. Future studies should use robots especially made to target sleep, include a thorough screening of the participants, and exclude people with adequate sleep, select appropriate sleep measures, and report the results appropriately for future meta-analyses.

CITATION

Støre SJ, Beckman L, Jakobsson N. The effect of robot interventions on sleep in adults: a systematic review and network meta-analysis. J Clin Sleep Med. 2022;18(7):1877-1884.

The Effects of Interacting With a Paro Robot After a Stressor in Patients With Psoriasis: A Randomised Pilot Study

Objective

Stress can play a role in the onset and exacerbation of psoriasis. Psychological interventions to reduce stress have been shown to improve psychological and psoriasis-related outcomes. This pilot randomised study investigated the feasibility of a brief interaction with a Paro robot to reduce stress and improve skin parameters, after a stressor, in patients with psoriasis.

Methods

Around 25 patients with psoriasis participated in a laboratory stress task, before being randomised to either interact with a Paro robot or sit quietly (control condition) for 30 min. Raman spectroscopy and trans-epidermal water loss were measured at baseline, after the stressor and after the intervention as indexes of acute skin changes. Psychological variables, including self-reported stress and affect, were also measured at the three time-points.

Results

No statistically significant differences between the two conditions were found for any of the outcomes measured. However, effect sizes suggest significance could be possible with a larger sample size. Changes in the psychological and Raman spectroscopy outcomes across the experimental session were found, indicating the feasibility of the procedures.

Conclusion

This pilot study showed that a brief interaction with a Paro robot was a feasible intervention for patients with psoriasis, but future trials should broaden the inclusion criteria to try to increase recruitment rates. Studying people who are highly stressed, depressed or who are stress-responders may increase the power of the intervention to show effects using a longer-term intervention.

Digital interventions for subjective and objective social isolation among individuals with mental health conditions: a scoping review

BACKGROUND

Social isolation encompasses subjective and objective concepts. Both are associated with negative health consequences and are more prevalent among people with mental health problems than among the general population. To alleviate social isolation, digital interventions have potential as accessible alternatives or adjuncts to face-to-face interventions. This scoping review aimed to describe the types of digital interventions evaluated for feasibility, acceptability and effectiveness in alleviating social isolation among individuals with mental health problems, and to present an overview of the quantitative evidence yielded to inform future intervention design.

METHODS

We searched five electronic databases for quantitative and mixed methods studies published between January 2000 and July 2020. Studies were included if they evaluated digital interventions for individuals with mental health conditions, had subjective and/or objective social isolation as their primary outcome, or as one of their outcomes if no primary outcome was specified. Feasibility studies were included if feasibility outcomes were the primary outcomes and social isolation was among their secondary outcomes. A narrative synthesis was conducted to present our findings. The protocol was registered on Open Science Framework (doi: https://doi.org/10.17605/OSF.IO/CNX8A ).

RESULTS

Thirty-two studies were included for our review: 16 feasibility studies, seven single-group studies and nine effectiveness trials. There was great variation in the interventions, study designs and sample populations. Interventions included web-based programmes, phone-based programmes, blended interventions, socially assistive robots and virtual reality interventions. Many were feasibility studies, or otherwise not fully powered to detect an effect if one were present, thus preventing clear conclusions about clinical effectiveness. Satisfactory feasibility outcomes indicated potential for future trials to assess these interventions.

CONCLUSION

Our scoping review identified a range of digital approaches utilized to alleviate social isolation among individuals with mental health disorders. Conclusions regarding clinical effectiveness cannot be reached due to variability of approaches and lack of large-scale randomized controlled trials. To make clear recommendations for digital social isolation interventions, future research needs to be based on rigorous methods and larger samples. Future studies should also focus on utilizing theory-driven approaches and improving existing approaches to advance the field.

Interventions to improve social connections: a systematic review and meta-analysis

PURPOSE

The importance of both frequent and high-quality social connections is widely recognised. Previous reviews of interventions for promoting social connections found mixed results due to the inclusion of uncontrolled studies and merging of objective and subjective dimensions of social connections. This study aimed to compare the effectiveness of interventions designed to promote 'objective social contact' and the 'quality of social connections'; and compare the effectiveness of interventions from different theoretical orientations on these social dimensions through a systematic review and meta-analysis of controlled trials.

METHODS

A systematic search of electronic databases Medline, Embase, PsycINFO and PubMed was conducted to identify randomised controlled trials of interventions for social isolation, loneliness, social participation and/or social connectedness in adults. Data were analysed using Stata V.16.0.

RESULTS

Fifty-eight studies met inclusion criteria (mean age = 62 years). Overall, interventions led to significant improvements in objective social contact (Hedges' g = 0.43) and perceived quality of social connections (Hedges' g = - 0.33). Increasing access to other people was the most effective strategy for promoting objective social contact (Hedges' g = 0.67). Providing adults with skills to manage maladaptive attributional biases, fear-related avoidance of social situations, and barriers to social contact, was the most effective strategy for addressing deficits in perceived quality of social connections (Hedges' g = - 0.53).

CONCLUSION

In summary, different interventions had differential effects on the frequency and quality of social relationships and associated emotional distress. Psychological interventions hold the most promise for increasing meaningful social connections and reducing distress.

Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies

Artificial intelligence (AI)-enhanced interventions show promise for improving the delivery of long-term care (LTC) services for older people. However, the research field is developmental and has yet to be systematically synthesised. This systematic review aimed to synthesise the literature on the acceptability and effectiveness of AI-enhanced interventions for older people receiving LTC services. We conducted a systematic search that identified 2720 records from Embase, Ovid, Global Health, PsycINFO, and Web of Science. 31 articles were included in the review that evaluated AI-enhanced social robots (n=22), environmental sensors (n=6), and wearable sensors (n=5) with older people receiving LTC services across 15 controlled and 14 non-controlled trials in high-income countries. Risk of bias was evaluated using the RoB 2, RoB 2 CRT, and ROBINS-I tools. Overall, AI-enhanced interventions were found to be somewhat acceptable to users with mixed evidence for their effectiveness across different health outcomes. The included studies were found to have high risk of bias which reduced confidence in the results. AI-enhanced interventions are promising innovations that could reshape the landscape of LTC globally. However, more trials are required to support their widespread implementation. Pathways are needed to support more high-quality trials, including in low-income and middle-income countries.