Evidence map›Paper›PMID 31186921›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

Qualitative study of affective identities in dementia patients for the design of cognitive assistive technologies.

Alexandra König, Linda E Francis, Jyoti Joshi, Julie M Robillard, Jesse Hoey

Abstract read
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Frontiers in dementia · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexandra KönigComputational Health Informatics Laboratory (CHIL), David R. Cheriton School of Computer Science, University of Waterloo, Canada.
Linda E FrancisDepartment of Sociology and Criminology, Cleveland State University, USA.
Jyoti JoshiComputational Health Informatics Laboratory (CHIL), David R. Cheriton School of Computer Science, University of Waterloo, Canada.
Julie M RobillardNational Core for Neuroethics, University of British Columbia, Canada.
Jesse HoeyComputational Health Informatics Laboratory (CHIL), David R. Cheriton School of Computer Science, University of Waterloo, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our overall aim is to develop an emotionally intelligent cognitive assistant (ICA) to help older adults with Alzheimer's disease (AD) to complete activities of daily living more independently. For improved adoption, such a system should take into account how individuals feel about who they are. This paper investigates different affective identities found in older care home residents with AD, leading to a computational characterization of these aspects and, thus, tailored prompts to each specific individual's identity in a way that potentially ensures smoother and more effective uptake and response. We report on a set of qualitative interviews with 12 older adult care home residents and caregivers. The interview covered life domains (family, origin, occupation, etc.), and feelings related to the ICA. All interviews were transcribed and analyzed to extract a set of affective identities, coded according to the social-psychological principles of affect control theory (ACT). Preliminary results show that a set of identities can be extracted for each participant (e.g. father, husband). Furthermore, our results provide support for the proposition that, while identities grounded in memories fade as a person loses their memory, habitual aspects of identity that reflect the overall "persona" may persist longer, even without situational context.

Indexed as

activities of daily living (ADL)affect control theoryAlzheimerassistive technologyavatardementiaIdentitypromptingtechnologyvirtual assistant

Identifiers

PMID31186921
PMCPMC6453059

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.