Objective:This study aims to explore the optimization needs of the cognitive training tool "Fun Brain" from a professional perspective, providing insights for its enhancement and application.Methods:In April 2024, a qualitative research approach was employed, involving group interviews with 61 elderly health professionals organized into 9 groups. The interviews primarily focused on the user experience and optimization suggestions related to the "Fun Brain" app. Thematic analysis was conducted, with NVivo 14 software utilized for data management and processing. Data analysis followed Braun and Clarke′s six-phase procedure to ensure the scientific and systematic extraction of themes. Furthermore, high-frequency word analysis was performed, offering crucial clues for subsequent thematic analysis.Results:The study identified 12 initial themes and 6 optimization themes, with a primary focus on age-appropriate interfaces, personalized modules, and feedback mechanisms. These themes were refined into three core themes, including adaptation of training content, optimization of interaction design, and enhancement of participant motivation.Conclusion:Optimizing cognitive training tools for elderly users requires careful consideration of their specific needs, particularly regarding functional adaptation, interface design, and interactive experience. Implementing these optimizations can improve user engagement and training effectiveness, offering both scientific and practical guidance for the design and promotion of cognitive training tools.

Objective:This study aims to explore the optimization needs of the cognitive training tool "Fun Brain" from a professional perspective, providing insights for its enhancement and application.Methods:In April 2024, a qualitative research approach was employed, involving group interviews with 61 elderly health professionals organized into 9 groups. The interviews primarily focused on the user experience and optimization suggestions related to the "Fun Brain" app. Thematic analysis was conducted, with NVivo 14 software utilized for data management and processing. Data analysis followed Braun and Clarke′s six-phase procedure to ensure the scientific and systematic extraction of themes. Furthermore, high-frequency word analysis was performed, offering crucial clues for subsequent thematic analysis.Results:The study identified 12 initial themes and 6 optimization themes, with a primary focus on age-appropriate interfaces, personalized modules, and feedback mechanisms. These themes were refined into three core themes, including adaptation of training content, optimization of interaction design, and enhancement of participant motivation.Conclusion:Optimizing cognitive training tools for elderly users requires careful consideration of their specific needs, particularly regarding functional adaptation, interface design, and interactive experience. Implementing these optimizations can improve user engagement and training effectiveness, offering both scientific and practical guidance for the design and promotion of cognitive training tools.