Time sequences

R Shannon; A Quigley; PA Nixon

doi:10.1145/1520340.1520709

Time sequences

R Shannon, A Quigley, PA Nixon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Title of host publication	Unknown Host Publication
Publisher	Association for Computing Machinery
Pages	4615-4620
Number of pages	6
ISBN (Print)	978-1-60558-247-4
DOIs	https://doi.org/10.1145/1520340.1520709
Publication status	Published (in print/issue) - 2009
Event	CHI 2009 - digital life, new world: conference proceedings and extended abstracts - Boston, USA Duration: 1 Jan 2009 → …

Conference

Conference	CHI 2009 - digital life, new world: conference proceedings and extended abstracts
Period	1/01/09 → …

Keywords

n/a

Access to Document

10.1145/1520340.1520709

Cite this

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title = "Time sequences",

abstract = "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.",

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author = "R Shannon and A Quigley and PA Nixon",

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doi = "10.1145/1520340.1520709",

language = "English",

isbn = "978-1-60558-247-4",

pages = "4615--4620",

booktitle = "Unknown Host Publication",

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TY - GEN

T1 - Time sequences

AU - Shannon, R

AU - Quigley, A

AU - Nixon, PA

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - n/a

U2 - 10.1145/1520340.1520709

DO - 10.1145/1520340.1520709

M3 - Conference contribution

SN - 978-1-60558-247-4

SP - 4615

EP - 4620

BT - Unknown Host Publication

PB - Association for Computing Machinery

T2 - CHI 2009 - digital life, new world: conference proceedings and extended abstracts

Y2 - 1 January 2009

ER -

Time sequences

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