Continuum: designing timelines for hierarchies, relationships and scale
André, Paul, Wilson, Max L., Russell, Alistair, Smith, Daniel A., Owens, Alisdair and schraefel, m.c. (2007) Continuum: designing timelines for hierarchies, relationships and scale. In, UIST2007 (ACM Symposium on User Interface Software and Technology), Newport, Rhode Island, ACM, 101-110.
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Temporal events, while often discrete, also have interesting relationships within and across times: larger events are often collections of smaller more discrete events (battles within wars; artists' works within a form); events at one point also have correlations with events at other points (a play written in one period is related to its performance, or lack of performance, over a period of time). Most temporal visualisations, however, only represent discrete data points or single data types along a single timeline: this event started here and ended there; this work was published at this time; this tag was popular for this period. In order to represent richer, faceted attributes of temporal events, we present Continuum. Continuum enables hierarchical relationships in temporal data to be represented and explored; it enables relationships between events across periods to be expressed, and in particular it enables user-determined control over the level of detail of any facet of interest so that the person using the system can determine a focus point, no matter the level of zoom over the temporal space. We present the factors motivating our approach, our evaluation and implementa-tion of this new visualisation which makes it easy for anyone to apply this interface to rich, large-scale datasets with temporal data.
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords:||Timeline, information visualisation, user interfaces, hierarchical relationships|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
|Date Deposited:||31 Mar 2007|
|Last Modified:||26 Apr 2013 03:55|
|Further Information:||Google Scholar|
|ISI Citation Count:||7|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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