[Reminiscence program supported by artificial intelligence and based on intangible cultural heritage aimed at the...

No prior work has explored using intangible cultural heritage as a foundation for reminiscence therapy. Technological tools for memory stimulation often fail to address the specific cultural needs of older populations. This gap motivated researchers to investigate how digital platforms might integrate traditional knowledge. Prior research has shown that reminiscence therapy supports psychological well-being in aging individuals. However, existing digital solutions frequently lack personalization or cultural relevance for diverse groups. That uncertainty drove the development of a novel intervention tailored to these specific requirements. It was already known that artificial intelligence could enhance user experiences in various healthcare settings. No prior work had resolved whether such advanced systems could effectively deliver culturally rooted therapeutic content to the elderly.

The aim of this study was to evaluate the applicability of a new artificial intelligence-supported program for reminiscence therapy. Researchers sought to determine if intangible cultural heritage could serve as a foundation for such interventions. The project addressed the need for innovative technological solutions that meet the specific requirements of older users. This study specifically examined how a digital platform might improve emotional well-being in aging populations. The authors intended to test the first prototype of the LONG-REMI program across diverse cognitive groups. By including individuals with and without cognitive impairment, the team explored the tool's versatility. The motivation for this work stemmed from the lack of existing research on heritage-based digital memory stimulation. This investigation provides a necessary assessment of whether such tools can effectively support the elderly in clinical or community settings.

A prospective observational study design guided the evaluation of the new technological application. Researchers recruited 56 participants aged 65 or older from six different centers located in Spain and Portugal. The review approach involved four consecutive weekly sessions where individuals tested the initial software prototype. Investigators assessed usability and satisfaction levels using the Visual Analogue Scale at the conclusion of the program. Emotional states were captured through the Positive and Negative Affect Schedule before and after the intervention. The team included participants both with and without cognitive impairment to ensure diverse representation. Statistical analysis focused on comparing pre-intervention and post-intervention scores to identify significant shifts in affect. This systematic approach allowed for a comprehensive assessment of the tool's performance in a real-world setting.

Key findings from the literature indicate that participants reported high levels of satisfaction and usability with the program. The mean score for usability reached 7.75, while satisfaction scores averaged 8.38 across the entire cohort. Significant improvements occurred in the positive affect subscale of the assessment tool. Scores increased from a baseline of 28.86 to 36.70 following the four-week intervention. Statistical testing confirmed these changes with a Z-value of -4.18 and a P-value of 0.000. Conversely, the negative affect subscale showed no significant variations during the study period. These results demonstrate that the application is accessible to older adults regardless of their cognitive status. The data confirm that the intervention successfully promotes positive emotional experiences in the target population.

The authors suggest that the LONG-REMI prototype serves as a viable tool for cognitive therapy interventions. Synthesis and implications indicate that this platform accommodates users with varying levels of cognitive health. Researchers propose that the integration of cultural heritage elements provides a unique pathway for emotional stimulation. The study findings imply that digital reminiscence programs can successfully foster positive affective states in older adults. Authors note that the lack of negative emotional shifts highlights the safety of this technological approach. Synthesis and implications reveal that future cognitive therapies might benefit from incorporating such personalized, heritage-based activities. The data support the potential for broader implementation of this AI-supported system across different care settings. Authors conclude that this pilot intervention offers a promising foundation for enhancing the quality of life in aging populations.