Designing Socially Assistive Robots for Alzheimer’s Disease and Related Dementia Patients and Their Caregivers: Where We Are and Where We Are Headed

Koutentakis, Dimitrios; Pilozzi, Alexander; Huang, Xudong

doi:10.3390/healthcare8020073

Cited by 28 publications

(20 citation statements)

References 62 publications

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“…The future of robotic product designs is promising in delivering social support, enhancing well-being and quality of life for individuals living with dementia (Table 2 ). As more robotic product designs are developed, socially interactive robots are being studied more and more, providing valuable insight into features and functions that these technologies can serve[ 82 ].…”

Section: Artificial Intelligencementioning

confidence: 99%

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

Shu¹,

Woo²

2021

WJP

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

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Section: Artificial Intelligencementioning

confidence: 99%

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

Shu¹,

Woo²

2021

WJP

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“…Generally, there are favorable benefits from robot-assisted activities to warrant further research in this field (24,(31)(32)(33). However, the benefits these robots may provide are determined by the individual characteristics of the patient, particularly the degree of cognitive impairment and the presence or lack of prior technology experience.…”

Section: Autonomous Robotic Applications For Patients With Advanced Dementiamentioning

confidence: 99%

“…Koutentakis et al ( 24 ) conducted a review of the currently existing literature up to 2020 on socially assistive robots and their potential benefit in alleviating care for patients with Alzheimer's disease and Alzheimer's disease-related dementia. The authors presented the existing evidence of the efficacy of socially assistive robots, the acceptance, needs, and preference, and the emotion recognition and the response of these robots.…”

Section: Autonomous Robotic Applications For Patients With Advanced Dementiamentioning

confidence: 99%

Nursing procedures for advanced dementia: Traditional techniques versus autonomous robotic applications (Review)

et al. 2021

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The purpose of this study was to perform a comparative analysis of traditional nursing techniques and autonomous robotic applications used for managing patients with advanced stages of dementia. PubMed, Cochrane Library, EMBASE, and WILEY databases were searched for relevant articles concerning nursing techniques applied in the treatment of patients with advanced dementia. The search terms included: (advanced dementia OR severe dementia) AND [artificial intelligence (AI) OR robotic OR robots OR neural networks OR deep learning OR automated procedures OR autonomous application]. This search identified a total of 2,679 articles and 298 articles were selected. Finally, 23 articles were included in this systematic review, out of which 8 studies analyzed traditional nursing techniques and 15 studies analyzed autonomous robotic applications. Significant evidence was revealed, demonstrating that autonomous robotic applications used for patients with advanced stages of dementia are a feasible, cost-efficient solution and represent an excellent benefit for patients and the healthcare system. Contents1. Introduction 2. Traditional nursing techniques for patients with advanced dementia 3. Autonomous Robotic Applications for patients with advanced dementia 4. Conclusions

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“… The transition from prioritizing volume to prioritizing value for the healthcare provided: The focus for healthcare management has shifted from treating acute illnesses in a massive way, to more time allocated to understanding the patient. Value is added to the patients’ experience of managing their chronic disease through the use of connected health, tele-medicine, and tele-presence robotics [ 11 , 12 , 13 , 14 ]. This is achieved thanks to the availability and use of artificial intelligent systems that analyze patient’s data being collected through medical sensors.…”

Section: Introductionmentioning

confidence: 99%

“…Moore sees these operational shifts as accomplishing cohesively dual objectives, mainly sustaining the life of the patient and promoting a good quality of this life. An example of successful adoption of these operational shifts is in the domain of caring for the wellbeing of patients with demantia and Alzhimer's diseases [14]. Koutentakis et al designed socially assistive robots for alzheimer's disease patients and for their caregivers.…”

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confidence: 99%

On How Chronic Conditions Affect the Patient-AI Interaction: A Literature Review

Sqalli

Al-Thani

2020

Healthcare

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Background: Across the globe, managing chronic diseases has been recognized as a challenge for patients and healthcare providers. The state of the art in managing chronic conditions requires not only responding to the clinical needs of the patient, but also guaranteeing a comfortable state of wellbeing for them, despite living with the disease. This demands mutual effort between the patient and the physician in constantly collecting data, monitoring, and understanding the disease. The advent of artificial intelligence has made this process easier. However, studies have rarely attempted to analyze how the different artificial intelligence based health coaching systems are used to manage different types of chronic conditions. Objective: Throughout this grounded theory literature review, we aim to provide an overview for the features that characterize artificial intelligence based health coaching systems used by patients with chronic diseases. Methods: During our search and paper selection process process, we use three bibliographic libraries (PubMed, IEEE Xplore, and ACM Digital Library). Using the grounded theory, we extract overarching themes for the artificial intelligence based health coaching systems. These systems are then classified according to their role, platform, type of interaction with the patient, as well as targeted chronic conditions. Of 869 citations retrieved, 31 unique studies are included in this review. Results: The included studies assess 14 different chronic conditions. Common roles for AI-based health coaching systems are: developing adherence, informing, motivating, reminding, preventing, building a care network, and entertaining. Health coaching systems combine the aforementioned roles to cater to the needs of the patients. The combinations of these roles differ between multilateral, unilateral, opposing bilateral, complementing bilateral, one-role-missing, and the blurred role combinations. Conclusion: Clinical solutions and research related to artificial intelligence based health coaching systems are very limited. Clear guidelines to help develop artificial intelligence-based health coaching systems are still blurred. This grounded theory literature review attempted to shed the light on the research and development requirements for an effective health coaching system intended for patients with chronic conditions. Researchers are recommended to use this review to identify the most suitable role combination for an effective health coaching system development.

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Designing Socially Assistive Robots for Alzheimer’s Disease and Related Dementia Patients and Their Caregivers: Where We Are and Where We Are Headed

Cited by 28 publications

References 62 publications

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

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

Nursing procedures for advanced dementia: Traditional techniques versus autonomous robotic applications (Review)

On How Chronic Conditions Affect the Patient-AI Interaction: A Literature Review

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