Time sequences

Ross Shannon, Aaron Quigley, Paddy Nixon

Research output: Contribution to conference (non-published works)Abstractpeer-review

1 Citation (Scopus)


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.
Original languageEnglish
Number of pages6
Publication statusPublished - 2009
Externally publishedYes
EventCHI '09: CHI Conference on Human Factors in Computing System - Boston, Boston, United States
Duration: 4 Apr 20099 Apr 2009


ConferenceCHI '09: CHI Conference on Human Factors in Computing System
Abbreviated titleCHI 2009
Country/TerritoryUnited States
Internet address


Dive into the research topics of 'Time sequences'. Together they form a unique fingerprint.

Cite this