Data Stories

Hey yo! We are back!

We have a very researchy kind of episode this time. Jessica Hullman is on the show to talk about her research on narrative visualization. Jessica is a Postdoctoral Fellow at Berkeley and soon to be Assistant Professor at University of Washington iSchool.

In the show we talk about lots of interesting basic visualization research issues like visualization literacy, bias and saliency, uncertainty, and some interesting automated annotation systems that Jessica has developed.

We also talk about Jessica’s background in experimental poetry!

Have fun.

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Links

• School of poetic computation
• Rudolf Arnheim (Art and Visual Perception)
• Zacks and Tversky’s study on line charts and bar charts interpretation
• Jessica’s paper on the role of sequence in vis (potential for order effects):
• Jessica’s paper on Benefitting InfoVis with Visual Difficulties
• Stephen Few’s criticism of the paper
• Paper on “What makes a data visualization memorable?”
• Paper on how perceptually difficult stimuli help us think more analytically
• Paper on “Animation: Can It Facilitate?” (criticising the value of animation)
• Having to explain things to yourself is useful for learning (from graphs) (in general)
• Enrico’s paper on “The Persuasive Power of Visualization”
• Kahneman’s book “Thinking fast and slow”
• Paper on graphs making information more visually salient
• NYT graphics: FIFA worldcup draws (representing uncertainty)
• Economist’s Blog Graphic Detail
• Contextifier and NewsViews (Jessica’s systems for generating visualizations to go with news articles)
• Ellipsis and Lyra (Authoring systems for narrative visualizations from Arvind Satyanarayan and Jeff Heer)
• Tableau Story Points