Classifying Text-Based Computer Interactions for Health Monitoring

Vizer, Lisa M.; Sears, Andrew

doi:10.1109/mprv.2015.85

Cited by 14 publications

(13 citation statements)

References 10 publications

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“…In this proof of principle study, we examined whether computer use behaviours recorded from semi‐structured tasks could discriminate between people with cognitive impairment and cognitively healthy control participants, and whether measures of functional ability and cognition were related to these computer use behaviours. Consistent with previous findings, the 2 groups performed differently on computer activity measures of time, keystrokes, and mouse operations . In contrast to previous studies which have focused on individual examples of computer use behaviour, here we have demonstrated that a combined profile of behaviours has potential to provide information about cognitive and functional decline in the early stages of neurodegeneration.…”

Section: Discussionsupporting

confidence: 88%

“…Specially developed recording software (for further details, see Gledson et al and Bull et al) captured computer use behaviours as a list of time‐stamped events. In‐line with previous research, the current study focussed on behaviours relating to mouse operations, keystrokes, and speed of use …”

Section: Methodsmentioning

confidence: 98%

“…Keyboard presses, and the key type and duration were recorded. Keystrokes included text‐based entries whilst completing the diary entry during the Microsoft Word task (based on Vizer and Sears), as well as all other key‐presses for general computer operations. To distinguish keyboard presses relating to higher‐level linguistic and semantic features from more general operations, we analysed these separately and termed these “Text” and “Operational” keystrokes, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…These behaviours were significantly correlated with cognitive test scores. Vizer and Sears also demonstrated that keystroke speed and linguistic content is associated with cognitive impairment in older adults. In spite of these promising findings, it remains uncertain whether these individual computer use behaviours (eg, speed of use, typing abilities, and mouse operations) could be used as a composite marker of cognitive impairment in a single participant group.…”

Section: Introductionmentioning

confidence: 92%

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Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline

Stringer

Couth

Brown

et al. 2018

Int J Geriat Psychiatry

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ObjectiveTo determine whether multiple computer use behaviours can distinguish between cognitively healthy older adults and those in the early stages of cognitive decline, and to investigate whether these behaviours are associated with cognitive and functional ability.MethodsOlder adults with cognitive impairment (n = 20) and healthy controls (n = 24) completed assessments of cognitive and functional abilities and a series of semi‐directed computer tasks. Computer use behaviours were captured passively using bespoke software.ResultsThe profile of computer use behaviours was significantly different in cognitively impaired compared with cognitively healthy control participants including more frequent pauses, slower typing, and a higher proportion of mouse clicks. These behaviours were significantly associated with performance on cognitive and functional assessments, in particular, those related to memory.ConclusionUnobtrusively capturing computer use behaviours offers the potential for early detection of neurodegeneration in non‐clinical settings, which could enable timely interventions to ultimately improve long‐term outcomes.

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Section: Discussionsupporting

confidence: 88%

Section: Methodsmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 92%

See 2 more Smart Citations

Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline

Stringer

Couth

Brown

et al. 2018

Int J Geriat Psychiatry

View full text Add to dashboard Cite

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“…However, game or training performance can provide objective data for cognitive assessment and monitoring through longitudinal analysis of performance (Zygouris et al, 2017). Although single measures may not provide a significant improvement in sensitivity and specificity over conventional tests, we expect that multivariate models of unobtrusively obtained data (Vizer & Sears, 2015) will demonstrate a substantial improvement resulting in important clinical impacts.…”

Section: Discussionmentioning

confidence: 99%

Mobile Technology for Cognitive Assessment of Older Adults: A Scoping Review

Koo

Vizer

2019

Innovation in Aging

155

125

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Background and ObjectivesThe number of people diagnosed with dementia is rising appreciably as the population ages. In an effort to improve outcomes, many have called for facilitating early detection of cognitive decline. Increased use of mobile technology by older adults provides the opportunity to deliver convenient, cost-effective assessments for earlier detection of cognitive impairment. This article presents a review of the literature on how mobile platforms—smartphones and tablets—are being used for cognitive assessment of older adults along with benefits and opportunities associated with using mobile platforms for cognitive assessment.Research Design and MethodsWe searched MEDLINE, Web of Science, PsycInfo, CINAHL, EMBASE, and Cochrane Central Register of Controlled Trials in October 2018. This search returned 7,024 articles. After removing 1,464 duplicates, we screened titles and abstracts then screened full-text for those articles meeting inclusion and exclusion criteria.ResultsTwenty-nine articles met our inclusion criteria and were categorized into 3 groups as follows: (a) mobile versions of existing article or computerized neuropsychological tests; (b) new cognitive tests developed specifically for mobile platforms; and (c) the use of new types of data for cognitive assessment. This scoping review confirms the considerable potential of mobile assessment.Discussion and ImplicationsMobile technologies facilitate repeated and continuous assessment and support unobtrusive collection of auxiliary behavioral markers of cognitive impairment, thus allowing users to view trends and detect acute changes that have traditionally been difficult to identify. Opportunities include using new mobile sensors and wearable devices, improving reliability and validity of mobile assessments, determining appropriate clinical use of mobile assessment information, and incorporating person-centered assessment principles and digital phenotyping.

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Brief webcam test of hand movements predicts episodic memory, executive function, and working memory in a community sample of cognitively asymptomatic older adults

Li,

Wang,

Lawler

et al. 2024

Alz & Dem Diag Ass & Dis Mo

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INTRODUCTIONLow‐cost simple tests for preclinical Alzheimer's disease are a research priority. We evaluated whether remote unsupervised webcam recordings of finger‐tapping were associated with cognitive performance in older adults.METHODSA total of 404 cognitively‐asymptomatic participants (64.6 [6.77] years; 70.8% female) completed 10‐second finger‐tapping tests (Tasmanian [TAS] Test) and cognitive tests (Cambridge Neuropsychological Test Automated Battery [CANTAB]) online at home. Regression models including hand movement features were compared with null models (comprising age, sex, and education level); change in Akaike Information Criterion greater than 2 (ΔAIC > 2) denoted statistical difference.RESULTSHand movement features improved prediction of episodic memory, executive function, and working memory scores (ΔAIC > 2). Dominant hand features outperformed nondominant hand features for episodic memory (ΔAIC = 2.5), executive function (ΔAIC = 4.8), and working memory (ΔAIC = 2.2).DISCUSSIONThis brief webcam test improved prediction of cognitive performance compared to age, sex, and education. Finger‐tapping holds potential as a remote language‐agnostic screening tool to stratify community cohorts at risk for cognitive decline.

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Classifying Text-Based Computer Interactions for Health Monitoring

Cited by 14 publications

References 10 publications

Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline

Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline

Mobile Technology for Cognitive Assessment of Older Adults: A Scoping Review

Brief webcam test of hand movements predicts episodic memory, executive function, and working memory in a community sample of cognitively asymptomatic older adults

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