Glanceable Data Visualizations for Older Adults: Establishing Thresholds and Examining Disparities Between Age Groups
Zack While, Tanja Blascheck, Yujie Gong, Petra Isenberg, Ali Sarvghad
Abstract
We present results of a replication study on smartwatch visualizations with adults aged 65 and older. The older adult population is rising globally, coinciding with their increasing interest in using small wearable devices, such as smartwatches, to track and view data. Smartwatches, however, pose challenges to this population: fonts and visualizations are often small and meant to be seen at a glance. How concise design on smartwatches interacts with aging-related changes in perception and cognition, however, is not well understood. We replicate a study that investigated how visualization type and number of data points affect glanceable perception. We observe strong evidence of differences for participants aged 75 and older, sparking interesting questions regarding the study of visualization and older adults. We discuss first steps toward better understanding and supporting an older population of smartwatch wearers and reflect on our experiences working with this population. Supplementary materials are available at https://osf.io/7x4hq/.
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Install the CLIlune papers fulltext 98f00c9c-2f57-4070-a080-23d46f984827Cited by top-tier papers2
- Toward Filling a Critical Knowledge Gap: Charting the Interactions of Age with Task and VisualizationZack While, Ali SarvghadCHI 2025 · 5 citations
- Living with Data: Exploring Physicalization Approaches to Sedentary Behavior Intervention for Older Adults in Everyday LifeSiying Hu, Zhenhao ZhangCHI 2026 · 1 citation
Builds on2
- Relational, Flexible, Everyday: Learning from Ethics in Dementia ResearchJames Hodge, Sarah Foley, Rens Brankaert, Gail Kenning et al.CHI 2020 · 44 citations
- Preferences and Effectiveness of Sleep Data Visualizations for Smartwatches and Fitness BandsAlaul Islam, Ranjini Aravind, Tanja Blascheck, Anastasia Bezerianos et al.CHI 2022 · 14 citations
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