Smart Home Sensing and Monitoring in Households With Dementia: User-Centered Design Approach

Tiersen, Federico; Batey, Philippa; Harrison, Matthew; Naar, Lenny; Serban, Alina‐Irina; Daniels, Sarah; Calvo, Rafael A.

doi:10.2196/27047

Cited by 57 publications

(42 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All studies were longitudinal, study duration was in the range of 1-3.5 years, with a mean of 2.3 years. This was the least represented of the three most common PPA variants, which might be expected since it is the most recently described 49 . Decline in IADLs was more significant that decline in BADLs, with marked decline in planning and execution 12 months after baseline 32 .…”

Section: Results For Specific Diagnostic Variants Bvftdmentioning

confidence: 78%

How do the activities of daily living decline in people living with rarer dementias? A systematic review

Taylor

Mohamud

Brotherhood

et al. 2022

Preprint

View full text Add to dashboard Cite

Objective: To study how activities of daily living (ADLs) decline over the progressive course of rarer dementias (prevalence below 10%), in a systematic review of the literature. Methods: Relevant studies were identified by searching Medline, Embase, Emcare, PsycINFO and Cinahl. The databases were searched for terms relating to (rarer dementias) AND (activities of daily living) AND (longitudinal OR cross-sectional studies), using a pre-established protocol registered with the international prospective register of systematic reviews (registration: CRD42021283302). Results: A total of 579 articles were screened for relevant content, of which 20 full-text publications were included in the analysis. Nineteen studies were about rarer dementias on the frontotemporal dementia/primary progressive aphasia spectrum, and one was about posterior cortical atrophy. Long term description of decline was limited to just seven studies following patients for longer than five years. The rate of decline, sequence of symptom onset, and symptom duration were also highlighted. Conclusion: Descriptions of ADL progression were inadequately long term, covering an average of 3.5 years from symptom onset, and lacked phenotypic specificity. The literature disproportionately studied dementias on the frontotemporal dementia spectrum. To facilitate better care, more longitudinal data, quantitative analyses, and development of rarer dementia-specific ADL scales is needed. Given the low prevalence of rarer dementias, big data analyses may never be applicable and so personalised medicine approaches should be pursued, including innovative possibilities in digital biomarkers such as from wearable technology.

show abstract

Section: Results For Specific Diagnostic Variants Bvftdmentioning

confidence: 78%

How do the activities of daily living decline in people living with rarer dementias? A systematic review

Taylor

Mohamud

Brotherhood

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…We found that a user-centric design involving older adults is essential for the successful adoption of technology [ 38 , 39 ]. System designers should strive to understand the requirements of older adults, incorporate their feedback, and adapt technology to meet age-related needs, such as changes in abilities, health status, living arrangements, and family structures [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

Decision-making Factors Toward the Adoption of Smart Home Sensors by Older Adults in Singapore: Mixed Methods Study

Cao¹,

Erdt²,

Robert³

et al. 2022

JMIR Aging

View full text Add to dashboard Cite

Background An increasing aging population has become a pressing problem in many countries. Smart systems and intelligent technologies support aging in place, thereby alleviating the strain on health care systems. Objective This study aims to identify decision-making factors involved in the adoption of smart home sensors (SHS) by older adults in Singapore. Methods The study involved 3 phases: as an intervention, SHS were installed in older adults’ homes (N=42) for 4 to 5 weeks; in-depth semistructured interviews were conducted with 18 older adults, 2 center managers, 1 family caregiver, and 1 volunteer to understand the factors involved in the decision-making process toward adoption of SHS; and follow-up feedback was collected from 42 older adult participants to understand the reasons for adopting or not adopting SHS. Results Of the 42 participants, 31 (74%) adopted SHS after the intervention, whereas 11 (26%) did not adopt SHS. The reasons for not adopting SHS ranged from privacy concerns to a lack of family support. Some participants did not fully understand SHS functionality and did not perceive the benefits of using SHS. From the interviews, we found that the decision-making process toward the adoption of SHS technology involved intrinsic factors, such as understanding the technology and perceiving its usefulness and benefits, and more extrinsic factors, such as considering affordability and care support from the community. Conclusions We found that training and a strong support ecosystem could empower older adults in their decision to adopt technology. We advise the consideration of human values and involvement of older adults in the design process to build user-centric assistive technology.

show abstract

“…User-centred design techniques can help to prioritise system design according to the features most important to users. 35 Machine learning systems do not make absolute predictions, but evaluate outcomes according to probabilities. A machine learning model will only be accepted when it reaches a level of accuracy deemed acceptable: this is often done by splitting the available training data into sets, one used for training and one used to assess performance.…”

Section: Human-centred Designmentioning

confidence: 99%

“…User-centred design techniques can help to prioritise system design according to the features most important to users. 35 …”

Section: Introductionmentioning

confidence: 99%

Ethical considerations in design and implementation of home-based smart care for dementia

2022

View full text Add to dashboard Cite

It has now become a realistic prospect for smart care to be provided at home for those living with long-term conditions such as dementia. In the contemporary smart care scenario, homes are fitted with an array of sensors for remote monitoring providing data that feed into intelligent systems developed to highlight concerning patterns of behaviour or physiological measurements and to alert healthcare professionals to the need for action. This paper explores some ethical issues that may arise within such smart care systems, focusing on the extent to which ethical issues can be addressed at the system design stage. Artificial intelligence has been widely portrayed as an ethically risky technology, posing challenges for privacy and human autonomy and with the potential to introduce and exacerbate bias and inequality. While broad principles for ethical artificial intelligence have become established, the mechanisms for governing ethical artificial intelligence are still evolving. In healthcare settings the implementation of smart technologies falls within the existing frameworks for ethical review and governance. Feeding into this ethical review there are many practical steps that designers can take to build ethical considerations into the technology. After exploring the pre-emptive steps that can be taken in design and governance to provide for an ethical smart care system, the paper reviews the potential for further ethical challenges to arise within the everyday implementation of smart care systems in the context of dementia, despite the best efforts of all concerned to pre-empt them. The paper concludes with an exploration of the dilemmas that may thus face healthcare professionals involved in implementing this kind of smart care and with a call for further research to explore ethical dimensions of smart care both in terms of general principles and lived experience.

show abstract

Smart Home Sensing and Monitoring in Households With Dementia: User-Centered Design Approach

Cited by 57 publications

References 60 publications

How do the activities of daily living decline in people living with rarer dementias? A systematic review

How do the activities of daily living decline in people living with rarer dementias? A systematic review

Decision-making Factors Toward the Adoption of Smart Home Sensors by Older Adults in Singapore: Mixed Methods Study

Ethical considerations in design and implementation of home-based smart care for dementia

Contact Info

Product

Resources

About