Empowering Autonomous Digital Learning for Older Adults

Abstract

The widespread adoption of smartphones has fundamentally transformed access to digital services, offering conveniences but also increased complexity. This presents a challenge for older adults unfamiliar with such rapid technological changes. My dissertation proposes support systems to help these individuals independently learn digital technologies. Initial research employed surveys and interviews to understand older adults' current digital interactions and barriers,taking digital banking as an illustrative case study. Based on their need for autonomous learning, we then developed an app that provides asynchronous social support with interactive tutorials and trial-and-error learning. Additionally, we are exploring how augmented reality (AR) can enrich the learning experiences of older adults. The forthcoming steps involve crafting an AI-powered assistant designed for empathetic, personalized interaction. Our objective is to forge an adaptable support system that uplifts older adults, bolstering their digital proficiency and bridging the technological divide to ensure a more inclusive future.