Socially Assistive Robots in Elderly Care: A Systematic Review into Effects and Effectiveness

Bemelmans, Roger; Gelderblom, Gert Jan; Jonker, Pieter; Witte, Luc de

doi:10.1016/j.jamda.2010.10.002

Cited by 465 publications

(293 citation statements)

References 33 publications

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“…The use of companion robots in residential aged care is promising, but the small sample in the study reviewed limits the generalisability of the intervention at this point in time. However, these results are in line with international research evidencing the positive psychosocial effects of older adults’ engagement with companion robots 45. No Aotearoa/New Zealand studies were found that tested the effectiveness of community‐based group programs, or individual telephone, mentoring or letter companion services aimed at ameliorating older adults’ loneliness.…”

Section: Discussionsupporting

confidence: 79%

Integrative review of older adult loneliness and social isolation in Aotearoa/New Zealand

et al. 2017

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ObjectiveTo conduct an integrative review of empirical studies of loneliness for older people in Aotearoa/New Zealand. Loneliness is a risk factor for older people's poor physical and cognitive health, serious illness and mortality. A national survey showed loneliness rates vary by gender and ethnicity.MethodsA systematic search of health and social science databases was conducted. Of 21 scrutinised articles, nine were eligible for inclusion and subjected to independent quality appraisal. One qualitative and eight quantitative research articles were selected.ResultsReported levels and rates of loneliness vary across age cohorts. Loneliness was significantly related to social isolation, living alone, depression, suicidal ideation, being female, being Māori and having a visual impairment. Qualitatively, older Korean immigrants experienced loneliness and social isolation, along with language and cultural differences.ConclusionAmongst older New Zealanders loneliness is commonly experienced by particular ethnic groups, highlighting a priority for targetted health and social services.

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Section: Discussionsupporting

confidence: 79%

Integrative review of older adult loneliness and social isolation in Aotearoa/New Zealand

et al. 2017

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“…Because of limited competence of older people such as lack of functional, biological, sensory/perceptual, cognitive capability, social abilities, and behavior skills, older people seem struggling to learn, adopt and accept the modern technology, including assistive robot [6,22]. In this regard, technology acceptance has been studied from a variety of perspectives.…”

Section: Human Factorsmentioning

confidence: 99%

Immersive Virtual Environment as a Promising Tool for the Elderly-Friendly Assistive Robot Design

Kim

Koo

Hyun

2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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As the population of older people continues to rapidly grow worldwide, assistive robots for older people are become more important to maintain their social, physical and psychological well-being. Although the idea of having these robots is an enticing prospect, there are many barriers for older people to adopt the robots in a daily life such as a negative attitude toward a robot, inadequate robot design, confined living environment. Therefore, the in-depth understanding of such barriers prior to adopting the robots is required so as to boost intimate interaction with and acceptance of assistive robot technology. This study thus aims to suggest a guideline that helps understand such barriers with a focus on relationships among the three aspects, namely human, robot, and environment. It then proposes Immersive Virtual Environment (IVE) as a tool to evaluate various scenarios of Human-Robot Interaction (HRI), so that it will help find optimal design solutions for assistive robots in consideration of the relationships among the three aspects. This research has great potential to contribute to the design principles of the assistive robots as well as space and environment planning for assistive housing.

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“…The raw frames (downsampled) without extracting engineered features are used as input to train a neural network. 4 …”

Section: Navigationmentioning

confidence: 99%

Deep Active Learning for Autonomous Navigation

Hussein

Gaber

Elyan

2016

Communications in Computer and Information Science

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Socially Assistive Robots in Elderly Care: A Systematic Review into Effects and Effectiveness

Cited by 465 publications

References 33 publications

Integrative review of older adult loneliness and social isolation in Aotearoa/New Zealand

Integrative review of older adult loneliness and social isolation in Aotearoa/New Zealand

Immersive Virtual Environment as a Promising Tool for the Elderly-Friendly Assistive Robot Design

Deep Active Learning for Autonomous Navigation

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