Studies of Part-to-Whole Glanceable Visualizations on Smartwatch Faces - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2023

Studies of Part-to-Whole Glanceable Visualizations on Smartwatch Faces

Abstract

We present three studies that investigate the effectiveness of multiple glanceable part-to-whole proportion representations on smartwatch faces. Our goal was to understand how quickly and accurately people can make judgments about their progress toward multiple goals displayed in a small space. We designed our three studies with increasing external validity. The first study compared bar charts, radial bar charts, and text representations-shown with a digital time display. The second study added an analog time dial as a distractor to increase the complexity of the watch face. To emulate realistic viewing conditions, the third study investigated the effect of viewing angles. In Study 1 bar and radial bar charts outperformed text representations, in Study 2 adding an analog time dial as a distractor did not affect task performance, and in Study 3 only the most extreme angle led to some performance decrease. Supplementary material is available at https://osf.io/ad2z7/.
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Dates and versions

hal-04018448 , version 1 (14-03-2023)

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Tanja Blascheck, Lonni Besançon, Anastasia Bezerianos, Bongshin Lee, Alaul Islam, et al.. Studies of Part-to-Whole Glanceable Visualizations on Smartwatch Faces. The IEEE Pacific Visualization Symposium (PacificVis), Apr 2023, Los Alamitos, United States. ⟨10.1109/PacificVis56936.2023.00028⟩. ⟨hal-04018448⟩
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