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LONG-REMI: An AI-based technological application to promote healthy mental longevity grounded in reminiscence therapy

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2022-IJERPH.pdf (1,489Mb)
 
10.3390/ijerph19105997
 
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hdl:2117/368218

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Nebot Castells, M. ÀngelaMés informacióMés informacióMés informació
Domenech Pou, Sara
Albino-Pires, Natália
Múgica Álvarez, FranciscoMés informacióMés informacióMés informació
Benali, Anass
Porta, Xènia
Nebot Mugica, Oriol
Santos, Pedro M.
Document typeArticle
Defense date2022-05-15
Rights accessOpen Access
Attribution 4.0 International
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 4.0 International
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.
CitationNebot, A. [et al.]. LONG-REMI: An AI-based technological application to promote healthy mental longevity grounded in reminiscence therapy. "International journal of environmental research and public health", 15 Maig 2022, vol. 19, núm. 10, article 5997, p. 1-15. 
URIhttp://hdl.handle.net/2117/368218
DOI10.3390/ijerph19105997
ISSN1660-4601
Publisher versionhttps://www.mdpi.com/1660-4601/19/10/5997
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  • SOCO - Soft Computing - Articles de revista [66]
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