Glanceable Data Visualizations for Older Adults: Establishing Thresholds and Examining Disparities Between Age Groups
<|reference_start|>Glanceable Data Visualizations for Older Adults: Establishing Thresholds and Examining Disparities Between Age Groups: 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/.<|reference_end|>
@article{while2024glanceable,
    title={Glanceable Data Visualizations for Older Adults: Establishing Thresholds
  and Examining Disparities Between Age Groups},
    author={Zack While, Tanja Blascheck, Yujie Gong, Petra Isenberg, and Ali
  Sarvghad},
    journal={arXiv preprint arXiv:2403.12343},
    year={2024},
    doi={10.1145/3613904.3642776},
    archivePrefix={arXiv},
    eprint={2403.12343},
    primaryClass={cs.HC}
}