Aged; Article; Artificial Intelligence; Axon Guidance; Caregiver; Clinical Article; Clinical Feature; Cognition; Cognitive Defect; Cognitive Impairment; Computer Simulation; Computer System Usability Questionnaire; Cultural Heritage; Dancing; Education; Emotion; Emotions Recognition; Face Tracking; Facial Expression; Facial Recognition; Female; Health Care System; Human; Human Activities; Humans; Inheritance; Innovation; Intangible Cultural Heritage; Likert Scale; Longevity; Male; Medical Procedures; Mental Health; Mental Longevity; Mild Cognitive Impairment; Multicenter Study; Nerve Cell Network; Neuropsychological Test; Observational Study; Outcome Assessment; Path Finding Algorithm; Pilot Projects; Pilot Study; Proverb; Psychotherapy; Questionnaire; Reinforcement (psychology); Reinforcement Learning; Reinforcement Learning (machine Learning); Reminiscence Therapy; Satisfaction; Technology; Tongue Twister; Tracking; Visual Analog Scale; Wellbeing;

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129957505&doi=10.3390%2fijerph19105997&partnerID=40&md5=9e68f33d447de47bfe7c05076e126fb9

10.3390/ijerph19105997

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.