Guidelines for using multiple views in information visualization

By Michelle Q. Wang Baldonado, Allison Woodruff, Allan Kuchinsky. International Working Conference on Advanced Visual Interfaces, 2000

888 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/631b8ecb91442fecb78cb12f620cbe38d981eac8

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In Human-Computer Interaction

Citations in the corpus

State of the Art: Coordinated & Multiple Views in Exploratory Visualization (2007, background): “[7] in their seminal paper detail eight principles that a developer should consider: Diversity – that multiple views should be used when there are a diverse set of attributes, abstractions or genres; Complementarity – use”
Reflective physical prototyping through integrated design, test, and analysis (2006, background): “The video view and statechart editor function in tandem as a multiple view interface [7] into the test data to aid understanding of the relationship between the user experience and the interaction model underlying it. d.tools supports both single user analysis and group analysis, which enables…”
Learnable programming (2017, background): “Visualization research on multiple coordinated views suggests the benefits of providing more than one view need to be balanced against the cognitive overhead imposed by switching between views.(37) Single mode structure editors have the advantage of a conceptual model free of syntax errors, because ”
Evaluating Information Visualizations (2008, background): “Some pertain to given data domains such as ambient displays [46] and multiple view visualizations [5].”
Human factors in visualization research (2004, methodology): “Similarly, Blackwell et al. describe cognitive dimensions , a set of heuristics for evaluating cognitive aspects of a system [5], and Baldonado et al. designed a set of heuristics specific to multiple view visualizations [2].”
Design Study Methodology: Reflections from the Trenches and the Stacks (2012, neutral): “Index Terms—Design study, methodology, visualization, framework.”
Analysis of biomedical data with multilevel glyphs (2014, background): “With the ability to work with different level of details, to arrange and order the glyphs in space and to synchronise different visualizations through coordinated multiple views (CMV) [4], an expert can in the truest sense of the word, travel through his data space.”
Visual Analysis of Topic Competition on Social Media (2013, background): “The composite visual design which integrates various types of temporal data will make identifying temporal correlation patterns more efficient than when data are depicted separately [5].”