Evidence map›Paper›PMID 38901017›Full record

ArticleJMIR rehabilitation and assistive technologies2024

The Value of a Virtual Assistant to Improve Engagement in Computerized Cognitive Training at Home: Exploratory Study.

Isabella Zsoldos, Eléonore Trân, Hippolyte Fournier, Franck Tarpin-Bernard, Joan Fruitet, Mélodie Fouillen, Gérard Bailly, Frédéric Elisei, Béatrice Bouchot, Patrick Constant and 3 more

Abstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Isabella ZsoldosLaboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Lyon, France.ORCID https://orcid.org/0000-0003-1899-2581
Eléonore TrânLaboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Lyon, France.ORCID https://orcid.org/0000-0002-6597-2199
Hippolyte FournierLaboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Lyon, France.ORCID https://orcid.org/0000-0002-7861-2387
Franck Tarpin-BernardSBT Humans Matter, Lyon, France.ORCID https://orcid.org/0000-0001-8090-8454
Joan FruitetSBT Humans Matter, Lyon, France.ORCID https://orcid.org/0000-0002-0211-1033
Mélodie FouillenSBT Humans Matter, Lyon, France.ORCID https://orcid.org/0000-0002-3328-8026
Gérard BaillyGIPSA-Lab, Université Grenoble Alpes, Grenoble, France.ORCID https://orcid.org/0000-0002-6053-0818
Frédéric EliseiGIPSA-Lab, Université Grenoble Alpes, Grenoble, France.ORCID https://orcid.org/0000-0002-1295-3445
Béatrice BouchotAtos, Echirolles, France.ORCID https://orcid.org/0009-0005-0542-0092
Patrick ConstantPertimm, Asnières-sur-Seine, France.ORCID https://orcid.org/0009-0007-2682-4226
Fabien RingevalLaboratoire d'Informatique de Grenoble, Université Grenoble Alpes, Grenoble, France.ORCID https://orcid.org/0000-0002-9213-4529
Olivier KoenigLaboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Lyon, France.ORCID https://orcid.org/0000-0002-5124-1889
Hanna ChainayLaboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Lyon, France.ORCID https://orcid.org/0000-0001-5754-033X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImpaired cognitive function is observed in many pathologies, including neurodegenerative diseases such as Alzheimer disease. At present, the pharmaceutical treatments available to counter cognitive decline have only modest effects, with significant side effects. A nonpharmacological treatment that has received considerable attention is computerized cognitive training (CCT), which aims to maintain or improve cognitive functioning through repeated practice in standardized exercises. CCT allows for more regular and thorough training of cognitive functions directly at home, which represents a significant opportunity to prevent and fight cognitive decline. However, the presence of assistance during training seems to be an important parameter to improve patients' motivation and adherence to treatment. To compensate for the absence of a therapist during at-home CCT, a relevant option could be to include a virtual assistant to accompany patients throughout their training.

objectiveThe objective of this exploratory study was to evaluate the interest of including a virtual assistant to accompany patients during CCT. We investigated the relationship between various individual factors (eg, age, psycho-affective functioning, personality, personal motivations, and cognitive skills) and the appreciation and usefulness of a virtual assistant during CCT. This study is part of the THERADIA (Thérapies Digitales Augmentées par l'Intelligence Artificielle) project, which aims to develop an empathetic virtual assistant.

methodsA total of 104 participants were recruited, including 52 (50%) young adults (mean age 21.2, range 18 to 27, SD 2.9 years) and 52 (50%) older adults (mean age 67.9, range 60 to 79, SD 5.1 years). All participants were invited to the laboratory to answer several questionnaires and perform 1 CCT session, which consisted of 4 cognitive exercises supervised by a virtual assistant animated by a human pilot via the Wizard of Oz method. The participants evaluated the virtual assistant and CCT at the end of the session.

resultsAnalyses were performed using the Bayesian framework. The results suggest that the virtual assistant was appreciated and perceived as useful during CCT in both age groups. However, older adults rated the assistant and CCT more positively overall than young adults. Certain characteristics of users, especially their current affective state (ie, arousal, intrinsic relevance, goal conduciveness, and anxiety state), appeared to be related to their evaluation of the session.

conclusionsThis study provides, for the first time, insight into how young and older adults perceive a virtual assistant during CCT. The results suggest that such an assistant could have a beneficial influence on users' motivation, provided that it can handle different situations, particularly their emotional state. The next step of our project will be to evaluate our device with patients experiencing mild cognitive impairment and to test its effectiveness in long-term cognitive training.

Indexed as

Alzheimer diseaseartificial intelligencecognitive declinecognitive disorderscognitive trainingconversational agentdigital therapiesmild cognitive impairmentsocial interactionTHERADIAvirtual health assistant

Identifiers

PMID38901017
PMCPMC11224701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.