Visualization in Motion: A Research Agenda and Two Evaluations - Laboratoire Interdisciplinaire des Sciences du Numérique Access content directly
Journal Articles IEEE Transactions on Visualization and Computer Graphics Year : 2022

Visualization in Motion: A Research Agenda and Two Evaluations

Lijie Yao
Petra Isenberg

Abstract

We contribute a research agenda for visualization in motion and two experiments to understand how well viewers can read data from moving visualizations. We define visualizations in motion as visual data representations that are used in contexts that exhibit relative motion between a viewer and an entire visualization. Sports analytics, video games, wearable devices, or data physicalizations are example contexts that involve different types of relative motion between a viewer and a visualization. To analyze the opportunities and challenges for designing visualization in motion, we show example scenarios and outline a first research agenda. Motivated primarily by the prevalence of and opportunities for visualizations in sports and video games we started to investigate a small aspect of our research agenda: the impact of two important characteristics of motion---speed and trajectory on a stationary viewer's ability to read data from moving donut and bar charts. We found that increasing speed and trajectory complexity did negatively affect the accuracy of reading values from the charts and that bar charts were more negatively impacted. In practice, however, this impact was small: both charts were still read fairly accurately.
Fichier principal
Vignette du fichier
Vis_in_motion_A_Research_Agenda_and_Two_Evaluations.pdf (14.35 Mo) Télécharger le fichier
Vignette du fichier
v-tvcg-9802784_Yao_Image.png (17.31 Ko) Télécharger le fichier
UserStudy_Demonstration.mp4 (29.61 Mo) Télécharger le fichier
Vis_in_motion_A_Research_Agenda_and_Two_Evaluations (Sup).pdf (548.7 Ko) Télécharger le fichier
v-tvcg_9802784_Yao_Preview.mp4 (45.36 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
licence : CC BY NC - Attribution - NonCommercial
Format : Figure, Image
Origin : Files produced by the author(s)
licence : Copyright
Comment : Logo of our paper
licence : CC BY NC - Attribution - NonCommercial
Origin : Files produced by the author(s)
licence : CC BY NC - Attribution - NonCommercial
licence : CC BY NC - Attribution - NonCommercial

Dates and versions

hal-03698837 , version 1 (19-06-2022)
hal-03698837 , version 2 (12-09-2022)

Licence

Attribution

Identifiers

Cite

Lijie Yao, Anastasia Bezerianos, Romain Vuillemot, Petra Isenberg. Visualization in Motion: A Research Agenda and Two Evaluations. IEEE Transactions on Visualization and Computer Graphics, 2022, 28 (10), pp.3546-3562. ⟨10.1109/TVCG.2022.3184993⟩. ⟨hal-03698837v2⟩
429 View
451 Download

Altmetric

Share

Gmail Facebook X LinkedIn More