Exploring the Opportunity of Augmented Reality (AR) in Supporting Older Adults Explore and Learn Smartphone Applications
Xiaofu Jin, Wai Tong, Xiaoying Wei, Xian Wang, Emily Kuang, Xiaoyu Mo, Huamin Qu, Mingming Fan
TL;DR
Aging populations face significant digital-literacy barriers as smartphone ecosystems evolve. The authors conduct a two-phase study—Phase 1 a workshop with 18 older adults to identify smartphone-app exploration challenges and AR intervention ideas, and Phase 2 tech-probe participatory design with 15 participants to co-create AR-supported learning tools, implemented on HoloLens 2. Findings show AR can reduce both physical and cognitive burdens during multi-app exploration and trial-and-error learning, while shaping concrete interaction-design guidelines (e.g., extended screens, terminology explanations, and state-saving previews). The work offers a path toward inclusive AR-enabled learning for the elderly, with implications for independent digital literacy and potential future integrations with healthcare contexts and collaborative learning scenarios.
Abstract
The global aging trend compels older adults to navigate the evolving digital landscape, presenting a substantial challenge in mastering smartphone applications. While Augmented Reality (AR) holds promise for enhancing learning and user experience, its role in aiding older adults' smartphone app exploration remains insufficiently explored. Therefore, we conducted a two-phase study: (1) a workshop with 18 older adults to identify app exploration challenges and potential AR interventions, and (2) tech-probe participatory design sessions with 15 participants to co-create AR support tools. Our research highlights AR's effectiveness in reducing physical and cognitive strain among older adults during app exploration, especially during multi-app usage and the trial-and-error learning process. We also examined their interactional experiences with AR, yielding design considerations on tailoring AR tools for smartphone app exploration. Ultimately, our study unveils the prospective landscape of AR in supporting the older demographic, both presently and in future scenarios.
