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

Alzheimer disease THERADIA artificial intelligence cognitive decline cognitive disorders cognitive training conversational agent digital therapies mild cognitive impairment social interaction virtual health assistant

Journal

JMIR rehabilitation and assistive technologies
ISSN: 2369-2529
Titre abrégé: JMIR Rehabil Assist Technol
Pays: Canada
ID NLM: 101703412

Informations de publication

Date de publication:
20 Jun 2024
Historique:
received: 12 04 2023
accepted: 09 04 2024
revised: 25 01 2024
medline: 20 6 2024
pubmed: 20 6 2024
entrez: 20 6 2024
Statut: epublish

Résumé

Impaired 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. The 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. A 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. Analyses 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. This 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.

Sections du résumé

BACKGROUND BACKGROUND
Impaired 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.
OBJECTIVE OBJECTIVE
The 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.
METHODS METHODS
A 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.
RESULTS RESULTS
Analyses 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.
CONCLUSIONS CONCLUSIONS
This 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.

Identifiants

pubmed: 38901017
pii: v11i1e48129
doi: 10.2196/48129
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e48129

Informations de copyright

©Isabella Zsoldos, Eléonore Trân, Hippolyte Fournier, Franck Tarpin-Bernard, Joan Fruitet, Mélodie Fouillen, Gérard Bailly, Frédéric Elisei, Béatrice Bouchot, Patrick Constant, Fabien Ringeval, Olivier Koenig, Hanna Chainay. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org), 20.06.2024.

Auteurs

Isabella Zsoldos (I)

Laboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Lyon, France.

Eléonore Trân (E)

Laboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Lyon, France.

Hippolyte Fournier (H)

Laboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Lyon, France.

Joan Fruitet (J)

SBT Humans Matter, Lyon, France.

Mélodie Fouillen (M)

SBT Humans Matter, Lyon, France.

Gérard Bailly (G)

GIPSA-Lab, Université Grenoble Alpes, Grenoble, France.

Frédéric Elisei (F)

GIPSA-Lab, Université Grenoble Alpes, Grenoble, France.

Patrick Constant (P)

Pertimm, Asnières-sur-Seine, France.

Fabien Ringeval (F)

Laboratoire d'Informatique de Grenoble, Université Grenoble Alpes, Grenoble, France.

Olivier Koenig (O)

Laboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Lyon, France.

Hanna Chainay (H)

Laboratoire d'Étude des Mécanismes Cognitifs, Université Lumière Lyon 2, Lyon, France.

Classifications MeSH