Visualisations of dynamic data change in appearance over time, reflecting changes in the underlying data, be that the development of a social network, or the addition or removal of a device node in an ad-hoc communications network. As viewers of these visualisation tools, it is up to us to accurately perceive and keep up with the constantly shifting view, mentally noting as visual elements are added, removed, changed and rearranged, sometimes at great pace. In a complex data set with a lot happening, this can be a strain on the observer's comprehension, with changes in layout and visual population disrupting their internalised "mental model" of the data, leading to errors in perception. We present Time Sequences, a novel dual visualisation technique which dilates the flow of time in the visualisation so that observers are given proportionally more time to understand changes based on the density of activity in the visualisation.
|Number of pages||6|
|Publication status||Published - 2009|
|Event||CHI '09: CHI Conference on Human Factors in Computing System - Boston, Boston, United States|
Duration: 4 Apr 2009 → 9 Apr 2009
|Conference||CHI '09: CHI Conference on Human Factors in Computing System|
|Abbreviated title||CHI 2009|
|Period||4/04/09 → 9/04/09|