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Data Visualization for Human Perception

Data Visualization for Human Perception

"Visualizing 'Big Data' in the Arts and Humanities | Humanities Institute On Wednesday, September 26, 2012 from 3:00pm to 4:30pm in 150A Thompson Library, the Humanities Institute and the Digital Arts and Humanities Working Group will host a panel discussion on "Visualizing 'Big Data' in the Arts and Humanities.” Panelists David Staley (History), Jessie Labov (Slavic & East European Languages & Cultures), and H. Lewis Ulman (English) will explore the place of data visualization as a form of humanities scholarship, with visualization as the hermeneutic act that allows humanists to read “big data.” David Staley is Director of The Goldberg Center and an associate professor in the Department of History at The Ohio State University. cenarios for the Future of the Book," "Futuring, Strategic Planning and Shared Awareness: An Ohio University Libraries' Case Study" in The Journal of Academic Librarianship, and "The Changing Landscape of Higher Education," which appeared in Educause Review. editing, and rhetorical theory, history and criticism.

Gestalt principles of form perception by Mads Soegaard Gestalt psychology attempts to understand psychological phenomena by viewing them as organised and structured wholes rather than the sum of their constituent parts. Thus, Gestalt psychology dissociates itself from the more 'elementistic'/reductionistic/decompositional approaches to psychology like structuralism (with its tendency to analyse mental processes into elementary sensations) and it accentuates concepts like emergent properties, holism, and context. In the 30s and 40s Gestalt psychology was applied to visual perception, most notably by Max Wertheimer, Wolfgang Khler, and Kurt Koffka who founded the so-called gestalt approaches to form perception. Their aim was to investigate the global and holistic processes involved in perceiving structure in the environment (e.g. Law of proximity Figure 1.A: A real-world example of the law of proximity from MTV Music Awards 2002 Law of similarity Law of Prgnanz (figure-ground) Law of symmetry Figure 4.A.: CSC Finland's logo. Law of closure License

Language communities of Twitter Eric Fischer maps language communities on Twitter using Chrome's open-source language detector. Each color, chosen to make differences more visibly obvious, represents a language. English is represented in dark gray, which is used just about everywhere, so it doesn't obscure everything else. The emergence of borders without actually drawing them in is interesting. There's a little bit of blending, but the splits are pretty well-defined. Especially in the Netherlands, where the tweet dispersal seems to be abnormally dense in that area. There's also a world version, but Europe is where all the action's at. [Language communities via @enf]

Fast Thinking and Slow Thinking Visualisation Last week I attended the Association of American Geographers Annual Conference and heard a talk by Robert Groves, Director of the US Census Bureau. Aside the impressiveness of the bureau’s work I was struck by how Groves conceived of visualisations as requiring either fast thinking or slow thinking. Fast thinking data visualisations offer a clear message without the need for the viewer to spend more than a few seconds exploring them. These tend to be much simpler in appearance, such as my map of the distance that London Underground trains travel during rush hour. The explicit message of this map is that surprisingly large distances are covered across the network and that the Central Line rolling stock travels furthest. It is up to the reader to work out why this may be the case. or the seemingly impenetrable (from a distance at least), but wonderfully intricate hand drawn work of Steven Walter (click image for interactive version).

Hull (1935) Classics in the History of Psychology An internet resource developed by Christopher D. Green York University, Toronto, Ontario (Return to Classics index) Clark L. First published in Psychological Review, 42, 491-516. One of the most striking things about the present state of the theory of learning and of psychological theory in general is the wide disagreement among individual psychologists. No one need be unduly disturbed by the mere fact of conflict as such; that in itself contains an element of optimism, since it indicates an immense amount of interest and genuine activity which are entirely favorable for the advancement of any science. The obvious implication of this general situation has recently called out a timely little book by Grace Adams [4] entitled, 'Psychology: science or superstition?' But before we can mend a condition we must discover the basis of the difficulty. It is agreed on all hands that Isaac Newton's 'Principia' is a classic among systematic theories in science. I.

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Why Is Data Visualization So Hot? Noah Iliinsky is the co-author of Designing Data Visualizations and technical editor of, and a contributor to, Beautiful Visualization, published By O’Reilly Media. He will lead a Designing Data Visualizations Workshop at O’Reilly’s Strata conference on Tuesday, Feb. 28. Data visualization is hot. All of a sudden there are dozens of companies and products that want to help you visually analyze your data, build your own visualizations, and visually display interesting data sets of all kinds. So, why is visualization interesting? Why is it desirable? To answer these questions, we need to go all the way back to biology. That last factor, pattern matching, is the key when it comes to discussing the benefits of presenting information visually. Let’s look at the classic instructive example, Anscombe’s Quartet, devised by statistician Francis Anscombe to demonstrate this very issue. So we know that visualization is effective at conveying knowledge. So there it is. We’re wired for visualization.

Why We Buy: How to Avoid 10 Costly Cognitive Biases The psychology of money: post-purchase rationalisation, the relativity trap, rosy retrospection, the restraint bias and more… We all make mistakes with money, some more than others. And in this economy, who needs it? But many of these mistakes are avoidable if we can understand how we think about money. Here are 10 biases that psychological research has shown affect our judgement…and how to avoid them. 1. One of the biggest reason people lose out financially is they stick with what they know, despite much better options being available. Research on investment decisions shows this bias (e.g. It’s hard to change because it involves more effort and we want to avoid regretting our decision. 2. After we buy something that’s not right, we convince ourselves it is right. Most people refuse to accept they’ve made a mistake, especially with a big purchase. Fight it! 3. We think about prices relatively and businesses know this. The relativity trap is also called the anchoring effect. 4. 5. 6. 7. 8.

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