A study of using motion for comparative visualization
Chien-Hsin Hsueh, Jia‐Kai Chou, Kwan‐Liu Ma · 2016
While the assessment of using motion in visualizations has been polarized, we conjecture that motion may be more effective in comparative visualizations if applied properly, especially when dealing with large amounts of multi-dimensional data. We have designed visualizations to represent driver behaviors. A series of user studies have been conducted to verify if adding motion to the static visualization can help users make comparisons and separate drastically different behaviors. Results show that adding motion indeed leads to shorter completion time and less cognitive workload.