RESUMO
Introducción: Las aplicaciones tecnológicas son una forma innovadora de brindar la terapia de reminiscencia (TR) y deben satisfacer las necesidades de las personas usuarias. El patrimonio cultural inmaterial (PCI) como tópico para dicha terapia no ha sido todavía explorado. Evaluamos la disponibilidad de una nueva aplicación apoyada en inteligencia artificial (IA) para la TR basada en el PCI dirigida a personas mayores. Material y métodos: Estudio observacional prospectivo realizado con personas de 65 años o más, sin deterioro cognitivo y con deterioro cognitivo leve y moderado que acudían a seis centros de mayores en España y Portugal. Las personas participantes testaron el primer prototipo del programa individualizado LONG-REMI en cuatro sesiones semanales consecutivas. La usabilidad y la satisfacción de la experiencia fueron evaluadas mediante la Escala visual analógica (EVA) al finalizar la intervención. Las emociones se evaluaron mediante la escala de afecto positivo y afecto negativo (PANAS) antes y al finalizar la intervención. Resultados: Se analizaron datos de 56 personas, la usabilidad y la satisfacción fueron altamente percibidas, con puntuaciones de 7,75±1,88 y 8,38±1,57, respectivamente. La subescala de subafecto positivo PANAS mostró cambios significativos (28,86±8,88 antes de la intervención vs. 36,70±9,43 post intervención, Z = -4,18, p = 0,000). No hubo cambios significativos en la subescala de afecto negativo PANAS. Conclusiones: El primer prototipo de la aplicación tecnológica LONG-REMI puede ser usado en personas mayores sin y con deterioro cognitivo. Este puede ser un instrumento potencial para futuras terapias cognitivas con actividades estimulantes y beneficio en las emociones. (AU)
Introduction: Technological applications are an innovative way of providing reminiscence therapy and must meet the users needs. Intangible cultural heritage as a basis for such therapy has not been explored yet. We evaluated the applicability of a new technological application supported by artificial intelligence for reminiscence therapy based on intangible cultural heritage aimed at older people. Material and methods: A prospective observational study was carried out with people aged 65 or over, without cognitive impairment and with mild and moderate cognitive impairment who attended six centers for older people in Spain and Portugal. Participants tested the first prototype of the individualized LONG-REMI program in four consecutive weekly sessions. The usability and satisfaction of the experience were evaluated using the VAS scale at the end of the intervention. Emotions were evaluated using the PANAS scale before and at the end of the intervention. Results: Data from 56 participants were analysed. For all participants, usability and satisfaction were highly perceived, with scores of 7.75±1.88 and 8.38±1.57, respectively. The positive affect subscale PANAS showed significant changes (28.86±8.88 before the intervention versus 36.70±9.43 post intervention, Z = −4.18, P = 0.000). There were no significant changes in the PANAS negative affect subscale. Conclusions: The first prototype of the LONG-REMI technological application can be used by older people both with and without cognitive impairment. This has the potential to be an instrument for future cognitive therapies with stimulating activities and benefits for emotions. (AU)
Assuntos
Humanos , Masculino , Feminino , Idoso , Idoso de 80 Anos ou mais , Terapia Cognitivo-Comportamental , Disfunção Cognitiva/psicologia , Estudos Prospectivos , Espanha , Portugal , Inteligência Artificial , Envelhecimento , Projetos PilotoRESUMO
INTRODUCTION: Technological applications are an innovative way of providing reminiscence therapy and must meet the users' needs. Intangible cultural heritage as a basis for such therapy has not been explored yet. We evaluated the applicability of a new technological application supported by artificial intelligence for reminiscence therapy based on intangible cultural heritage aimed at older people. MATERIAL AND METHODS: A prospective observational study was carried out with people aged 65 or over, without cognitive impairment and with mild and moderate cognitive impairment who attended six centers for older people in Spain and Portugal. Participants tested the first prototype of the individualized LONG-REMI program in four consecutive weekly sessions. The usability and satisfaction of the experience were evaluated using the VAS scale at the end of the intervention. Emotions were evaluated using the PANAS scale before and at the end of the intervention. RESULTS: Data from 56 participants were analysed. For all participants, usability and satisfaction were highly perceived, with scores of 7.75±1.88 and 8.38±1.57, respectively. The positive affect subscale PANAS showed significant changes (28.86±8.88 before the intervention versus 36.70±9.43 post intervention, Z = -4.18, P = 0.000). There were no significant changes in the PANAS negative affect subscale. CONCLUSIONS: The first prototype of the LONG-REMI technological application can be used by older people both with and without cognitive impairment. This has the potential to be an instrument for future cognitive therapies with stimulating activities and benefits for emotions.
Assuntos
Terapia Cognitivo-Comportamental , Disfunção Cognitiva , Idoso , Humanos , Projetos Piloto , Inteligência Artificial , Disfunção Cognitiva/psicologia , Estudos ProspectivosRESUMO
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.
