Characterizing Users' Visual Analytic Activity for Insight Provenance

By David Gotz, Michelle X. Zhou. 2008 IEEE Symposium on Visual Analytics Science and Technology, 2008

367 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/420029a760af3387b0491c8aabd439d62a604a5c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Zhicheng Liu
2. Kai Berger

In Computer Vision and Pattern Recognition

1. Zhicheng Liu
2. John T. Stasko
3. Kai Berger
4. Jeffrey Heer

In Information Systems and Management

1. Erik Duval

Citations in the corpus

• Mental Models, Visual Reasoning and Interaction in Information Visualization: A Top-down Perspective (2010, background): “In a similar vein to previous work on interaction [14, 66], we emphasize human intentionality as a basis for understanding interaction in InfoVis.”
• Knowledge Generation Model for Visual Analytics (2014, neutral): “[12]) or data processing (Bertini et al.”
• Visual Multiplexing (2014, background): “In addition to some 17 different proposals listed in [CJ10], the recent additions included user characteristics [GZ09], comparative visualization [GAW ∗ 11], video visualization [BCD ∗ 12], evaluation [LBI ∗ 12], mixed reality visualization [KOJC12], and task taxonomy [SNHS13].”