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

Author:

Nebot ÀngelaORCID,Domènech SaraORCID,Albino-Pires NatáliaORCID,Mugica Francisco,Benali AnassORCID,Porta Xènia,Nebot Oriol,Santos PedroORCID

Abstract

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.

Funder

Fundación General CSIC (FGCSIC), the Programa para una Sociedad Longeva and the Fondo Europeo de Desarrollo Regional (FEDER).

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference52 articles.

1. Increase in the Share of the Population Aged 65 Years or over between 2011 and 2021 https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Population_structure_and_ageing

2. Improved quality of life and cognitive stimulation therapy in dementia

3. National Institutes of Health State-of-the-Science Conference Statement: Preventing Alzheimer Disease and Cognitive Decline

4. Cognitive training for people with mild to moderate dementia

5. Reminiscence therapy for dementia

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