Highlighting in visual data analytics

Highlighting has been known as a basic viewing control mechanism in computer graphics and visualization for guiding users’ attention in reading diagrams, images, graphs, and digital texts. Due to the rapid development of theory and practice in information visualization and visual analytics, the role of ‘highlighting’ in computer graphics has been extended from just acting as a viewing control to being part of an interaction control and a visual recommendation mechanism that is important in modern information visualization and visual analytics. In this chapter, the authors present a brief literature review. They try to assign the word ‘highlighting’ a contemporary definition and attempt to give a formal summarization and classification of the existing and potential ‘highlighting’ methods that are to be applied in Information Visualization, Visual Analytics, and Knowledge Visualization. We also propose a new three-layer model of ‘highlighting’ and discuss the responsibilities of each layer accordingly.

[1]  Harri Siirtola,et al.  Interacting with parallel coordinates , 2006, Interact. Comput..

[2]  Colin Ware,et al.  Filtering and Brushing with Motion , 2002, Inf. Vis..

[3]  Weidong Huang.  Establishing aesthetics based on human graph reading behavior: two eye tracking studies , 2011, Personal and Ubiquitous Computing.

[4]  Colin Ware,et al.  Motion to support rapid interactive queries on node--link diagrams , 2004, TAP.

[5]  Ben Shneiderman,et al.  A Rank-by-Feature Framework for Interactive Exploration of Multidimensional Data , 2005, Inf. Vis..

[6]  Seok-Hee Hong,et al.  Visual Analysis of History of World Cup: A Dynamic Network with Dynamic Hierarchy and Geographic Clustering , 2009, VINCI.

[7]  Weidong Huang,et al.  Exploring the relative importance of crossing number and crossing angle , 2010, VINCI '10.

[8]  Mao Lin Huang,et al.  Angular Treemaps - A New Technique for Visualizing and Emphasizing Hierarchical Structures , 2012, 2012 16th International Conference on Information Visualisation.

[9]  Keith Andrews,et al.  Information Slices: Visualising and Exploring Large Hierarchies using Cascading, Semi-Circular Discs , 1998 .

[10]  Joaquín Adiego,et al.  Visualizing Shared Highlighting Annotations , 2006 .

[11]  Harry Timmermans,et al.  Mobile Technologies for Activity-Travel Data Collection and Analysis , 2014 .

[12]  Michel Bierlaire,et al.  Individual Mobility Analysis Using Smartphone Data , 2014 .

[13]  David M. Nichols,et al.  DEBORA: Developing an Interface to Support Collaboration in a Digital Library , 2000, ECDL.

[14]  Mao Lin Huang,et al.  Clutter Reduction in Multi-dimensional Visualization of Incomplete Data Using Sugiyama Algorithm , 2012, 2012 16th International Conference on Information Visualisation.

[15]  Fernando Batista,et al.  Intelligent Management and Efficient Operation of Big Data , 2016, Web Services.

[16]  Matthew O. Ward,et al.  High Dimensional Brushing for Interactive Exploration of Multivariate Data , 1995, Proceedings Visualization '95.

[17]  Daniel A. Keim,et al.  Challenges in Visual Data Analysis , 2006, Tenth International Conference on Information Visualisation (IV'06).

[18]  Colin Ware,et al.  Zooming versus multiple window interfaces: Cognitive costs of visual comparisons , 2006, TCHI.

[19]  Mao Lin Huang,et al.  Highlighting in Information Visualization: A Survey , 2010, 2010 14th International Conference Information Visualisation.

[20]  Weidong Huang,et al.  A graph reading behavior: Geodesic-path tendency , 2009, 2009 IEEE Pacific Visualization Symposium.

[21]  Mao Lin Huang,et al.  A focus+context visualization technique using semi-transparency , 2004, The Fourth International Conference onComputer and Information Technology, 2004. CIT '04..

[22]  Dieter Schmalstieg,et al.  Context-Preserving Visual Links , 2011, IEEE Transactions on Visualization and Computer Graphics.

[23]  Eric Hildebrand,et al.  GPS Travel Diaries in Rural Transportation Research: A Focus on Older Drivers , 2014 .

[24]  Shalin Hai-Jew,et al.  Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, and Multidimensionality , 2013 .

[25]  Wilson S. Geisler,et al.  Focusing on the essential , 2003, Commun. ACM.

[26]  J. Stasko,et al.  Focus+context display and navigation techniques for enhancing radial, space-filling hierarchy visualizations , 2000, IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings.

[27]  Kang Shi,et al.  An evaluation of content browsing techniques for hierarchical space-filling visualizations , 2005, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005..

[28]  Colin Ware,et al.  Supporting Visual Queries on Medium-Sized Node–Link Diagrams , 2005, Inf. Vis..

[29]  Alan M. MacEachren,et al.  Supporting visual analysis of federal geospatial statistics , 2003, CACM.

[30]  Mao Lin Huang,et al.  A Visualization Approach for Frauds Detection in Financial Market , 2009, 2009 13th International Conference Information Visualisation.

[31]  Richard A. Becker,et al.  Brushing scatterplots , 1987 .

[32]  Vincent Bouthors,et al.  Pharos, a Collaborative Infrastructure for Web Knowledge Sharing , 1999, ECDL.