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LONG-REMI: An AI-Based Technological Application to Promote Healthy Mental Longevity Grounded in Reminiscence Therapy

Reminiscence therapy (RT) consists of thinking about one’s own experiences through the presentation of memory-facilitating stimuli, and it has as its fundamental axis the activation of emotions. An innovative way of offering RT involves the use of technology-assisted applications, which must also sa...

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Detalles Bibliográficos
Autores principales: Nebot, Àngela, Domènech, Sara, Albino-Pires, Natália, Mugica, Francisco, Benali, Anass, Porta, Xènia, Nebot, Oriol, Santos, Pedro M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141720/
https://www.ncbi.nlm.nih.gov/pubmed/35627535
http://dx.doi.org/10.3390/ijerph19105997
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author Nebot, Àngela
Domènech, Sara
Albino-Pires, Natália
Mugica, Francisco
Benali, Anass
Porta, Xènia
Nebot, Oriol
Santos, Pedro M.
author_facet Nebot, Àngela
Domènech, Sara
Albino-Pires, Natália
Mugica, Francisco
Benali, Anass
Porta, Xènia
Nebot, Oriol
Santos, Pedro M.
author_sort Nebot, Àngela
collection PubMed
description Reminiscence therapy (RT) consists of thinking about one’s own experiences through the presentation of memory-facilitating stimuli, and it has as its fundamental axis the activation of emotions. An innovative way of offering RT involves the use of technology-assisted applications, which must also satisfy the needs of the user. This study aimed to develop an AI-based computer application that recreates RT in a personalized way, meeting the characteristics of RT guided by a therapist or a caregiver. The material guiding RT focuses on intangible cultural heritage. The application incorporates facial expression analysis and reinforcement learning techniques, with the aim of identifying the user’s emotions and, with them, guiding the computer system that emulates RT dynamically and in real time. A pilot study was carried out at five senior centers in Barcelona and Portugal. The results obtained are very positive, showing high user satisfaction. Moreover, the results indicate that the high frequency of positive emotions increased in the participants at the end of the intervention, while the low frequencies of negative emotions were maintained at the end of the intervention.
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spelling pubmed-91417202022-05-28 LONG-REMI: An AI-Based Technological Application to Promote Healthy Mental Longevity Grounded in Reminiscence Therapy Nebot, Àngela Domènech, Sara Albino-Pires, Natália Mugica, Francisco Benali, Anass Porta, Xènia Nebot, Oriol Santos, Pedro M. Int J Environ Res Public Health Article Reminiscence therapy (RT) consists of thinking about one’s own experiences through the presentation of memory-facilitating stimuli, and it has as its fundamental axis the activation of emotions. An innovative way of offering RT involves the use of technology-assisted applications, which must also satisfy the needs of the user. This study aimed to develop an AI-based computer application that recreates RT in a personalized way, meeting the characteristics of RT guided by a therapist or a caregiver. The material guiding RT focuses on intangible cultural heritage. The application incorporates facial expression analysis and reinforcement learning techniques, with the aim of identifying the user’s emotions and, with them, guiding the computer system that emulates RT dynamically and in real time. A pilot study was carried out at five senior centers in Barcelona and Portugal. The results obtained are very positive, showing high user satisfaction. Moreover, the results indicate that the high frequency of positive emotions increased in the participants at the end of the intervention, while the low frequencies of negative emotions were maintained at the end of the intervention. MDPI 2022-05-15 /pmc/articles/PMC9141720/ /pubmed/35627535 http://dx.doi.org/10.3390/ijerph19105997 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nebot, Àngela
Domènech, Sara
Albino-Pires, Natália
Mugica, Francisco
Benali, Anass
Porta, Xènia
Nebot, Oriol
Santos, Pedro M.
LONG-REMI: An AI-Based Technological Application to Promote Healthy Mental Longevity Grounded in Reminiscence Therapy
title LONG-REMI: An AI-Based Technological Application to Promote Healthy Mental Longevity Grounded in Reminiscence Therapy
title_full LONG-REMI: An AI-Based Technological Application to Promote Healthy Mental Longevity Grounded in Reminiscence Therapy
title_fullStr LONG-REMI: An AI-Based Technological Application to Promote Healthy Mental Longevity Grounded in Reminiscence Therapy
title_full_unstemmed LONG-REMI: An AI-Based Technological Application to Promote Healthy Mental Longevity Grounded in Reminiscence Therapy
title_short LONG-REMI: An AI-Based Technological Application to Promote Healthy Mental Longevity Grounded in Reminiscence Therapy
title_sort long-remi: an ai-based technological application to promote healthy mental longevity grounded in reminiscence therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141720/
https://www.ncbi.nlm.nih.gov/pubmed/35627535
http://dx.doi.org/10.3390/ijerph19105997
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