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Situated Visualization in Motion for Swimming

Lijie Yao, Anastasia Bezerianos, Romain Vuillemot, Petra Isenberg

TL;DR

How visualizations are currently added to the coverage of Olympics swimming competitions is analyzed and a design space for embedded data representations for swimming competitions is derived to derive a design space for embedded visualizations in motion.

Abstract

Competitive sports coverage increasingly includes information on athlete or team statistics and records. Sports video coverage has traditionally embedded representations of this data in fixed locations on the screen, but more recently also attached representations to athletes or other targets in motion. These publicly used representations so far have been rather simple and systematic investigations of the research space of embedded visualizations in motion are still missing. Here we report on our preliminary research in the domain of professional and amateur swimming. We analyzed how visualizations are currently added to the coverage of Olympics swimming competitions and then plan to derive a design space for embedded data representations for swimming competitions. We are currently conducting a crowdsourced survey to explore which kind of swimming-related data general audiences are interested in, in order to identify opportunities for additional visualizations to be added to swimming competition coverage.

Situated Visualization in Motion for Swimming

TL;DR

How visualizations are currently added to the coverage of Olympics swimming competitions is analyzed and a design space for embedded data representations for swimming competitions is derived to derive a design space for embedded visualizations in motion.

Abstract

Competitive sports coverage increasingly includes information on athlete or team statistics and records. Sports video coverage has traditionally embedded representations of this data in fixed locations on the screen, but more recently also attached representations to athletes or other targets in motion. These publicly used representations so far have been rather simple and systematic investigations of the research space of embedded visualizations in motion are still missing. Here we report on our preliminary research in the domain of professional and amateur swimming. We analyzed how visualizations are currently added to the coverage of Olympics swimming competitions and then plan to derive a design space for embedded data representations for swimming competitions. We are currently conducting a crowdsourced survey to explore which kind of swimming-related data general audiences are interested in, in order to identify opportunities for additional visualizations to be added to swimming competition coverage.
Paper Structure (6 sections, 1 figure)

This paper contains 6 sections, 1 figure.

Table of Contents

  1. Introduction
  2. Related Work
  3. Swimming Visualization Analysis
  4. Work in Progress: Survey
  5. Discussion and Future Work
  6. Acknowledgement

Figures (1)

  • Figure 1: Examples of embedded visualizations for swimming. Left: Stationary swimmers' names in each lane. Right: Swimmers' current position circles and record line moving with the swimmers' movement. Both images have a stationary timer in the top left corner. Image credits: We analyzed the videos from the 2020 Olympics. Since we did not obtain permission to use screenshots of these videos, we use our own recordings of other competitions.