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

Tanja Blascheck (1) , Lonni Besançon (2, 3) , Anastasia Bezerianos (4, 5) , Bongshin Lee (6) , Alaul Islam (7, 8, 9, 10) , Tingying He (10) , Petra Isenberg (10)

1 University of Stuttgart
2 Monash University [Melbourne]
3 Linköpings universitet
4 LRI - Laboratoire de Recherche en Informatique
5 ILDA - Interacting with Large Data
6 Microsoft Research
7 CNRS - Centre National de la Recherche Scientifique
8 Université Paris-Saclay
9 LISN - Laboratoire Interdisciplinaire des Sciences du Numérique
10 AVIZ - Analysis and Visualization

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/.

Keywords: Human-centered computing; Visualization; Visualization design and evaluation methods

Domains: Computer Science [cs]; Human-Computer Interaction [cs.HC]

Tanja Blascheck, Lonni Besançon, Anastasia Bezerianos, Bongshin Lee, Alaul Islam, et al.. Studies of Part-to-Whole Glanceable Visualizations on Smartwatch Faces. PacificVis 2023 - The16th IEEE Pacific Visualization Symposium, Apr 2023, Seoul, South Korea. ⟨hal-04018448⟩