Towards Aging-in-Place: Automatic Assessment of Product Usability for Older Adults with Dementia

Taati, Babak; Snoek, Jasper; Mihailidis, Alex

doi:10.1109/hisb.2011.43

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…For the four ML models we used, the TPR ranged from 88% to 96%, and the FPR ranged from 26% to 48%. These results are similar to those of a previous study that tried to automate the assessment of product usability using artificial intelligence (TPR = 84.5%, FPR = 41.1%) 27 . In contrast, a study on breast cancer detection showed a higher TPR (>95%) and a lower FPR (<0.1%) compared with our study, 28 in which we deliberately chose a threshold to maximize the TPR while maintaining a relatively low FPR.…”

Section: Discussionsupporting

confidence: 89%

“…These results are similar to those of a previous study that tried to automate the assessment of product usability using artificial intelligence (TPR = 84.5%, FPR = 41.1%). 27 In contrast, a study on breast cancer detection showed a higher TPR (>95%) and a lower FPR (<0.1%) compared with our study, 28 in which we deliberately chose a threshold to maximize the TPR while maintaining a relatively low FPR. However, it is important to note that our ML-based decision-assisting algorithm was designed to reduce repetitive tasks.…”

Section: Discussioncontrasting

confidence: 80%

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A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults

Ryu

Lee

Jun

et al. 2022

CIN: Computers, Informatics, Nursing

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As life expectancy increases, there is a growing consensus on the development of integrated care encompassing the health and daily activities of older adults. In recent years, although the demand for machine learning applications in healthcare has increased, only a few studies have implemented machine learning–based systems in integrated care for older adults owing to the complex needs of older adults and the coarseness of the available data. Our study aims to explore the possibility of implementing machine learning decision-support algorithms in the integrated care of older community-dwelling adults. Our experiment uses secondary data based on the community-based integrated service model. Such data were collected from 511 older adults through 162 assessment items in which tailored services were selected from 18 available services. We implemented four machine learning models: decision tree, random forest, K-nearest neighbors, and multilayer perceptron. The area under the receiver operating characteristic curve results of the four models were decision tree = 0.89, K-nearest neighbors = 0.88, random forest = 0.93, and multilayer perceptron = 0.88. The results suggest that machine learning–based decision-assisting algorithms can improve the quality of tailored services for integrated care with intensive involvement of face-to-face tasks by reducing the simple, repetitive tasks of care managers.

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Section: Discussionsupporting

confidence: 89%

Section: Discussioncontrasting

confidence: 80%

A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults

Ryu

Lee

Jun

et al. 2022

CIN: Computers, Informatics, Nursing

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show abstract

“…However, as these methods are resource intensive, conducting a large-scale study would be a significant undertaking. To address this, work is underway to develop computer algorithms that can autonomously capture and categorise product use, allowing large amounts of data to be analysed automatically with the goal of enabling a more holistic understanding of product use [46,47]. …”

Section: Resultsmentioning

confidence: 99%

Examining the impact of familiarity on faucet usability for older adults with dementia

2013

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BackgroundChanges in cognition caused by dementia can significantly alter how a person perceives familiarity, impacting the recognition and usability of everyday products. A person who is unable to use products cannot autonomously complete associated activities, resulting in increased dependence on a caregiver and potential move to assisted living facilities. The research presented in this paper hypothesised that products that are more familiar will result in better usability for older adults with dementia. Better product usability could, in turn, potentially support independence and autonomy.MethodsThis research investigated the impact of familiarity on the use of five faucet designs during 1309 handwashing trials by 27 older adults, who ranged from cognitively intact to the advanced (severe) stages of dementia. Human factors methods were used to collect empirical and self-reported data to gauge faucets’ usability. Participants’ data were grouped according to cognition (i.e., no/mild, moderate, or severe dementia). Logistic regression, ranking by odds, and Wald tests of odds ratios were used to compare performance of the three groups on the different faucets. Qualitative data were used in the interpretation of quantitative results.ResultsResults indicated that more familiar faucets correlated with lower levels of assistance from a caregiver, fewer operational errors, and greater levels of operator satisfaction. Aspects such as the ability to control water temperature and flow as well as pleasing aesthetics appeared to positively impact participants’ acceptance of a faucet. The dual lever design achieved the best overall usability.ConclusionsWhile work must be done to expand these findings to other products and tasks, this research provides evidence that familiarity plays a substantial role in product usability for older adults that appears to become more influential as dementia progresses. The methods used in this research could be adapted to analyse usability for other products by older adults with dementia.

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Vision-based posture assessment to detect and categorize compensation during robotic rehabilitation therapy

Taati

Wang

Huq

et al. 2012

2012 4th IEEE RAS &Amp; EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

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Towards Aging-in-Place: Automatic Assessment of Product Usability for Older Adults with Dementia

Cited by 5 publications

References 15 publications

A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults

A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults

Examining the impact of familiarity on faucet usability for older adults with dementia

Vision-based posture assessment to detect and categorize compensation during robotic rehabilitation therapy

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