The role of AI in optimizing visual design for elderly healthcare users
Yufan Guo
Brunel University of London
DOI: https://doi.org/10.59429/esta.v12i2.10580
Keywords: Artificial intelligence; Elderly healthcare; Visual design; Interface optimization; Multi-modal interaction
Abstract
With the intensification of global agi Brunel University of London ng, the adaptability of elderly healthcare services has become an increasingly pressing issue. As a crucial interactive component in medical systems, visual design significantly influences the operational experience, accessibility, and information acquisition efficiency of elderly users. Starting from the evolution of artificial intelligence (AI) technologies, this paper systematically reviews its core applications in visual design for elderly healthcare—focusing on intelligent interface optimization, personalized visual presentation, and the construction of multimodal interaction systems tailored to the aging population. By analyzing current technological achievements and representative system cases, it explores the potential of AI-based visual systems to improve usability, aging-friendliness, and precision in medical service delivery. At the same time, the study identifies existing technical bottlenecks, ethical risks, and design limitations that hinder widespread adoption. Based on these findings, it proposes a set of recommendations for optimizing aging-friendly visual design and outlines future directions for research and development. The research concludes that AI will play a pivotal role in advancing healthcare systems toward more intelligent, inclusive, and human-centered models—particularly in supporting elderly health, enhancing digital accessibility, and promoting long-term societal well-being.
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