Technology Adoption and Learning Preferences for Older Adults: Evolving Perceptions, Ongoing Challenges, and Emerging Design Opportunities
Carolyn Pang, Zhiqin Collin Wang, Joanna McGrenere, Rock Leung, Jiamin Dai, and Karyn Moffatt. 2021. Technology Adoption and Learning Preferences for Older Adults: Evolving Perceptions, Ongoing Challenges, and Emerging Design Opportunities. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). Association for Computing Machinery, New York, NY, USA, Article 490, 1–13. https://doi.org/10.1145/3411764.3445702
Technology adoption among older adults has increased significantly in recent years. Yet, as new technologies proliferate and the demographics of aging shift, continued attention to older adults’ adoption priorities and learning preferences is required. Through semi-structured interviews, we examine the factors adults 65+ prioritize in choosing new technologies, the challenges they encounter in learning to use them, and the human and material resources they employ to support these efforts. Using a video prototype as a design probe, we present scenarios to explore older adults’ perceptions of adoption and learning new technologies within the lens of health management support, a relevant and beneficial context for older adults. Our results reveal that participants appreciated self-paced learning, remote support, and flexible learning methods, and were less reliant on instruction manuals than in the past. This work provides insight into older adults’ evolving challenges, learning needs, and design opportunities for next generation learning support.
