Glanceable Data Visualizations for Older Adults: Establishing Thresholds and Examining Disparities Between Age Groups

要旨

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 \url{https://osf.io/7x4hq/}.

受賞
Honorable Mention
著者
Zack While
University of Massachusetts Amherst, Amherst, Massachusetts, United States
Tanja Blascheck
University of Stuttgart, Stuttgart, Germany
Yujie Gong
Smith College, Northampton, Massachusetts, United States
Petra Isenberg
Université Paris-Saclay, CNRS, Orsay, France
Ali Sarvghad
University of Massachusetts Amherst, Amherst, Massachusetts, United States
論文URL

https://doi.org/10.1145/3613904.3642776

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Visualization and Sonification

323C
5 件の発表
2024-05-16 18:00:00
2024-05-16 19:20:00