AgentVis : Visual Analysis of Agent Behavior With Hierarchical Glyphs

Glyphs representing complex behavior provide a useful and common means of visualizing multivariate data. However, due to their complex shape, overlapping, and occlusion of glyphs is a common and prominent limitation. This limits the number of discreet data tuples that can be displayed in a given ima...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - 27(2021), 9 vom: 15. Sept., Seite 3626-3643
1. Verfasser: Rees, Dylan (VerfasserIn)
Weitere Verfasser: Laramee, Robert S, Brookes, Paul, D'Cruze, Tony, Smith, Gary A, Miah, Aslam
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article
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520 |a Glyphs representing complex behavior provide a useful and common means of visualizing multivariate data. However, due to their complex shape, overlapping, and occlusion of glyphs is a common and prominent limitation. This limits the number of discreet data tuples that can be displayed in a given image. Using a real-world application, glyphs are used to depict agent behavior in a call center. However, many call centers feature thousands of agents. A standard approach representing thousands of agents with glyphs does not scale. To accommodate the visualization incorporating thousands of glyphs we develop clustering of overlapping glyphs into a single parent glyph. This hierarchical glyph represents the mean value of all child agent glyphs, removing overlap and reduTcing visual clutter. Multi-variate clustering techniques are explored and developed in collaboration with domain experts in the call center industry. We implement dynamic control of glyph clusters according to zoom level and customized distance metrics, to utilize image space with reduced overplotting and cluttering. We demonstrate our technique with examples and a usage scenario using real-world call-center data to visualize thousands of call center agents, revealing insight into their behavior and reporting feedback from expert call-center analysts 
650 4 |a Journal Article 
700 1 |a Laramee, Robert S  |e verfasserin  |4 aut 
700 1 |a Brookes, Paul  |e verfasserin  |4 aut 
700 1 |a D'Cruze, Tony  |e verfasserin  |4 aut 
700 1 |a Smith, Gary A  |e verfasserin  |4 aut 
700 1 |a Miah, Aslam  |e verfasserin  |4 aut 
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