Designing for Visualization in Motion: Embedding Visualizations in Swimming Videos

Lijie Yao (1) , Romain Vuillemot (2, 3) , Anastasia Bezerianos (4) , Petra Isenberg (1)

1 AVIZ - Analysis and Visualization
2 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 SICAL - Situated Interaction, Collaboration, Adaptation and Learning
4 ILDA - Interacting with Large Data - LISN

We report on challenges and considerations for supporting design processes for visualizations in motion embedded in sports videos. We derive our insights from analyzing swimming race visualizations and motion-related data, building a technology probe, as well as a study with designers. Understanding how to design situated visualizations in motion is important for a variety of contexts. Competitive sports coverage, in particular, increasingly includes information on athlete or team statistics and records. Although moving visual representations attached to athletes or other targets are starting to appear, systematic investigations on how to best support their design process in the context of sports videos are still missing. Our work makes several contributions in identifying opportunities for visualizations to be added to swimming competition coverage but, most importantly, in identifying requirements and challenges for designing situated visualizations in motion. Our investigations include the analysis of a survey with swimming enthusiasts on their motion-related information needs, an ideation workshop to collect designs and elicit design challenges, the design of a technology probe that allows to create embedded visualizations in motion based on real data, and an evaluation with visualization designers that aimed to understand the benefits of designing directly on videos.

Keywords: Embedded visualization; sports analytics; design framework; visualization in motion

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

Lijie Yao, Romain Vuillemot, Anastasia Bezerianos, Petra Isenberg. Designing for Visualization in Motion: Embedding Visualizations in Swimming Videos. IEEE Transactions on Visualization and Computer Graphics, 2024, 30 (3), pp.1821-1836. ⟨10.1109/tvcg.2023.3341990⟩. ⟨hal-04364838⟩