The CARESSES Randomised Controlled Trial: Exploring the Health-Related Impact of Culturally Competent Artificial Intelligence Embedded Into Socially Assistive Robots and Tested in Older Adult Care Homes

Papadopoulos, Chris; Castro, Nina; Nigath, Abiha; Davidson, Rosemary; Faulkes, Nicholas; Menicatti, Roberto; Khaliq, Ali Abdul; Recchiuto, Carmine Tommaso; Battistuzzi, Linda; Randhawa, Gurch; Merton, Len; Kanoria, Sanjeev; Chong, Nak Young; Kamide, Hiroko; Hewson, David; Sgorbissa, Antonio

doi:10.1007/s12369-021-00781-x

Cited by 43 publications

(45 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Martinez et al [68] combined smart homes and smartphones in their study. In the reviewed studies focusing on loneliness and social isolation alleviation, older adults have been introduced most often to social robots [69][70][71][72][73][74][75][76][77][78][79]. Studies have also examined the use of a smart home solution [80], VR systems [81,82], and an ambient activity system that includes an activity sensor (AAL-VU system) [83].…”

Section: Types Of Technologies Assessedmentioning

confidence: 99%

Older Adults’ Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review

Latikka¹,

Hernández²,

Lohan³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

Background Loneliness and social isolation can have severe effects on human health and well-being. Partial solutions to combat these circumstances in demographically aging societies have been sought from the field of information and communication technology (ICT). Objective This systematic literature review investigates the research conducted on older adults’ loneliness and social isolation, and physical ICTs, namely robots, wearables, and smart homes, in the era of ambient assisted living (AAL). The aim is to gain insight into how technology can help overcome loneliness and social isolation other than by fostering social communication with people and what the main open-ended challenges according to the reviewed studies are. Methods The data were collected from 7 bibliographic databases. A preliminary search resulted in 1271 entries that were screened based on predefined inclusion criteria. The characteristics of the selected studies were coded, and the results were summarized to answer our research questions. Results The final data set consisted of 23 empirical studies. We found out that ICT solutions such as smart homes can help detect and predict loneliness and social isolation, and technologies such as robotic pets and some other social robots can help alleviate loneliness to some extent. The main open-ended challenges across studies relate to the need for more robust study samples and study designs. Further, the reviewed studies report technology- and topic-specific open-ended challenges. Conclusions Technology can help assess older adults’ loneliness and social isolation, and alleviate loneliness without direct interaction with other people. The results are highly relevant in the COVID-19 era, where various social restrictions have been introduced all over the world, and the amount of research literature in this regard has increased recently.

show abstract

Section: Types Of Technologies Assessedmentioning

confidence: 99%

Older Adults’ Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review

Latikka¹,

Hernández²,

Lohan³

et al. 2021

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…It should be able to mitigate the effects of social isolation by keeping residents socially and physically engaged, through leisure activities, cognitive interventions, or through physical exercises [88]. In one study exploring the impact of SARs on the health and well-being of older adults in social care settings in England and Japan pre-COVID, the Pepper robot interacted in a culturally competent way with residents; it was aware of the participant's cultural background, and tailored its interactions accordingly (for example, a wave instead of a bow; playing English music and movies instead of Japanese) [89]. The results show that (1) older adults who interacted with the robot demonstrated a significant improvement in their mental health; (2) after two weeks, there was a small but positive impact on loneliness severity among users; and (3) there was a significant positive impact on people's attitudes towards the robot [89,90].…”

Section: Positive Hri Experiencementioning

confidence: 99%

“…In fact, pre-COVID, in one study with older adults living in their own homes using the daily care robot Bomy, by Robocare, participants valued the personalized medication and health-related reminders the robot gave the most [92]. In another study, the Pepper robot provided more personalized interactions when it was aware of participants' individual cultural preferences [89].…”

Section: Personalizationmentioning

confidence: 99%

Socially Assistive Robots Helping Older Adults through the Pandemic and Life after COVID-19

Getson

Nejat

2021

Robotics

View full text Add to dashboard Cite

The COVID-19 pandemic has critically impacted the health and safety of the population of the world, especially the health and well-being of older adults. Socially assistive robots (SARs) have been used to help to mitigate the effects of the pandemic including loneliness and isolation, and to alleviate the workload of both formal and informal caregivers. This paper presents the first extensive survey and discussion on just how socially assistive robots have specifically helped this population, as well as the overall impact on health and the acceptance of such robots during the pandemic. The goal of this review is to answer research questions with respect to which SARs were used during the pandemic and what specific tasks they were used for, and what the enablers and barriers were to the implementation of SARs during the pandemic. We will also discuss lessons learned from their use to inform future SAR design and applications, and increase their usefulness and adoption in a post-pandemic world. More research is still needed to investigate and appreciate the user experience of older adults with SARs during the pandemic, and we aim to provide a roadmap for researchers and stakeholders.

show abstract

“…Some propositions for the future may push the limits of what machines may do and how they differ from humans. For example, researchers have recently developed a culturally competent robot that improves emotional well-being in older adults when compared to treatment as usual (Papadopoulos et al, 2021). Eventually, we can imagine robot carers that may reduce loneliness and support vulnerable populations in their independent living (Bardaro et al, 2021).…”

Section: Machines Are Here To Stay and Just Keep Getting Bettermentioning

confidence: 99%

“…For example, researchers and practitioners may develop and train robots to take care of both the physical and psychological needs of older adults (e.g., Costa et al, 2018;Niemelä & Melkas, 2019;Papadopoulos et al, 2021). More ambitiously, the Alan Turing Institute (2020) proposed the AI Scientist Grand Challenge, which aims to develop a machine that could win a Nobel prize in science by 2050.…”

Section: Machine Behavior Analysis 16mentioning

confidence: 99%

Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis

Lanovaz¹

2021

Preprint

View full text Add to dashboard Cite

Currently, researchers and practitioners recognize four domains of behavior analysis: radical behaviorism, the experimental analysis of behavior, applied behavior analysis, and the practice of behavior analysis. Given the omnipresence of technology in every sphere of our lives, the purpose of this conceptual paper is to describe and argue in favor of a fifth domain: machine behavior analysis. Machine behavior analysis is a science that examines how machines interact with and produce relevant changes in their external environment by relying on replicability, behavioral terminology, and the philosophical assumptions of behavior analysis (e.g., selectionism, determinism, parsimony) to study their artificial behavior. Arguments in favor of a science of machine behavior include the omnipresence and impact of machines on human behavior, the inability of engineering alone to explain and control machine behavior, and the need to organize a community of non-mentalistic scientists around a common issue. Regardless of whether behavior analysts agree or disagree with our position, we argue that we need to debate the topic. As such, the current article aims to encourage and contribute to this debate.

show abstract

The CARESSES Randomised Controlled Trial: Exploring the Health-Related Impact of Culturally Competent Artificial Intelligence Embedded Into Socially Assistive Robots and Tested in Older Adult Care Homes

Cited by 43 publications

References 35 publications

Older Adults’ Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review

Older Adults’ Loneliness, Social Isolation, and Physical Information and Communication Technology in the Era of Ambient Assisted Living: A Systematic Literature Review

Socially Assistive Robots Helping Older Adults through the Pandemic and Life after COVID-19

Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis

Contact Info

Product

Resources

About