Visually Augmenting Documents With Data

“A picture is worth a thousand words” is a famous English saying. It is true in many cases, because a complex idea or data can be simply conveyed through the use of a single static image or diagram. Therefore, inclusion of graphics and visualizations in scientific texts has been an important aspect ever since researchers started publishing articles. Conventional writing styles allow researchers to provide images, graphs, and tables to enhance the readability and understandability of the text, but usually, these large-scale images need to be placed at a slightly different location from the relevant text, either on the same page or on the next pages. This far-off placement of graphics forces readers to switch their attention between text and graphics, which can cause a split-attention effect, thereby increasing the cognitive effort to comprehend the information.

[1]  Daniel Weiskopf,et al.  Pathline glyphs , 2014, Comput. Graph. Forum.

[2]  Michael Burch,et al.  Eye Tracking in Computer-Based Visualization , 2015, Computing in Science & Engineering.

[3]  Petra Isenberg,et al.  An Exploratory Study of Word-Scale Graphics in Data-Rich Text Documents , 2017, IEEE Transactions on Visualization and Computer Graphics.

[4]  Jean-Daniel Fekete,et al.  Design Considerations for Enhancing Word-Scale Visualizations with Interaction , 2015 .

[5]  John Sweller,et al.  The Cambridge Handbook of Multimedia Learning: The Split-Attention Principle in Multimedia Learning , 2005 .

[6]  Michael Burch,et al.  User performance and reading strategies for metro maps: An eye tracking study , 2017, Spatial Cogn. Comput..

[7]  E. Tufte Beautiful Evidence , 2006 .

[8]  Fabian Beck,et al.  Word-Sized Graphics for Scientific Texts , 2017, IEEE Transactions on Visualization and Computer Graphics.

[9]  Anastasia Bezerianos,et al.  Exploring the Effect of Word-Scale Visualizations on Reading Behavior , 2015, CHI Extended Abstracts.

[10]  Fabian Beck,et al.  Exploring Interactive Linking Between Text and Visualization , 2018, EuroVis.

[11]  Fabian Beck,et al.  An expert evaluation of word-sized visualizations for analyzing eye movement data , 2016, 2016 IEEE Second Workshop on Eye Tracking and Visualization (ETVIS).

[12]  Issei Fujishiro,et al.  The elements of graphing data , 2005, The Visual Computer.

[13]  Thomas J. Overbye,et al.  Information processing and visualization of power system wide area time varying data , 2013, 2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG).