Designing Age-Friendly User Interfaces Based on Multimodal Sentiment Analysis: A Systematic Study on Bridging the Digital Divide and Improving Mental Healt

Abstract

The global aging population and the widespread use of digital technologies have exacerbated the digital divide among the elderly, affecting their mental health. This study utilizes multimodal sentiment analysis techniques to develop a theoretical framework for age-friendly user interface design, proposing optimization strategies. Through experimental and observational methods, the study validates the effectiveness of emotion-driven design in enhancing digital skills, improving mental health, and increasing user satisfaction among elderly users. The results indicate that multimodal sentiment analysis contributes to improving digital skills, operational efficiency, reducing loneliness and depression, enhancing cognitive abilities, and increasing willingness for digital engagement, thereby boosting user satisfaction and experience. This research provides a theoretical framework and optimization strategies for age-friendly user interface design, enriches relevant theories and practices, and offers guidance for improving digital experiences and promoting healthy aging for the elderly.