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Independent Living

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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.

International journal of environmental research and public health
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 us...

Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach.

BMC public health
BACKGROUND: Falls are a major problem associated with ageing. Yet, fall-risk classification models identifying older adults at risk are lacking. Current screening tools show limited predictive validity to differentiate between a low- and high-risk of...

Towards emotionally aligned social robots for dementia: perspectives of care partners and persons with dementia.

Alzheimer's & dementia : the journal of the Alzheimer's Association
BACKGROUND: Persons living with dementia and their care partners place a high value on aging in place and maintaining independence. Socially assistive robots - embodied characters or pets that provide companionship and aid through social interaction ...

Usability and Acceptability of Social Robot Pets Among Community-Dwelling Veterans Living With Dementia and Their Caregivers.

American journal of Alzheimer's disease and other dementias
Social robot pets promote engagement and psychosocial well-being among older adults, yet little is known about their use among community-dwelling Veterans living with dementia. This programmatic evaluation used a within subjects, pre-post design to e...

Exploring AI Literacy Among Older Adults.

Studies in health technology and informatics
Artificial Intelligence (AI) technology is increasingly being integrated into our daily lives and many aspects of society. AI is viewed as a new opportunity to promote independent living and well-being for older adults. AI literacy plays an important...

Investigating the effectiveness of socially assistive robot on depression and cognitive functions of community dwelling older adults with cognitive impairments.

Assistive technology : the official journal of RESNA
We evaluated a socially assistive robot (SAR) named Hyodol during a six-week intervention. This study enrolled 69 older adults with cognitive decline. To screen the eligibility, we have used the following three criteria, namely Korean-Mini-Mental Sta...

Exploring the role of human-following robots in supporting the mobility and wellbeing of older people.

Scientific reports
With the ever-pressing challenges of societal ageing, robotic technologies for older people are increasingly portrayed as a solution for better independent living for longer. However, the application of human-following robots for elderly citizens has...

Better informing everyday fall risk assessment: experimental studies with contemporary technologies.

Lancet (London, England)
BACKGROUND: Age-related mobility issues and frailty are a major public health concern because of an increased risk of falls. Subjective assessment of fall risk in the clinic is limited, failing to account for an individual's habitual activities in th...

Using Interoperability between Mobile Robot and KNX Technology for Occupancy Monitoring in Smart Home Care.

Sensors (Basel, Switzerland)
It is important for older and disabled people who live alone to be able to cope with the daily challenges of living at home. In order to support independent living, the Smart Home Care (SHC) concept offers the possibility of providing comfortable con...

Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population.

BMC geriatrics
BACKGROUND: Falls impact over 25% of older adults annually, making fall prevention a critical public health focus. We aimed to develop and validate a machine learning-based prediction model for serious fall-related injuries (FRIs) among community-dwe...