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DTSTAMP:20170221T110004
UID:85ba8b3c-cc7e-11e8-806c-000e0c3db68b
SUMMARY:Vortrag | Dr. Michael Correll, UW Interactive Data Lab at the University of Washington Department of Computer Science
DESCRIPTION:\n\n\nSprecher\n\n\nDr. Michael Correll, supervised by Jeff Heer\n\nUW Interactive Data Lab at the University of Washington Department of Computer\nScience \n\n\n\n\nTitel\n\n\n\nBias and Uncertainty in Information Visualization\n\n\n\n\n \n\nWe often turn to data to help us make sense of an uncertain world. However, the uncertainty in\nour data is often esoteric, complex, or counter-intuitive. It can be challenging to present this\nuncertainty, especially to audiences without backgrounds in statistics.\n\nCharts, graphs, and other visualizations of data address this issue by making people into “\nvisual statisticians:” we can estimate statistical properties through visual inspection. However,\njust as statistical measures can be subject to bias, visualizations can also introduce bias.\n\nIn this talk, I show how designers can intervene to create new visualizations that correct\nthese biases, and improve the judgments of visual statisticians. From this perspective of designing\nfor de-biasing, I focus on two common visualizations: error bars and thematic maps. I present\nvisual alternatives for error bars that avoid “within-the-bar” bias while also promoting\nstatistically grounded comparisons between means. I also present “Surprise Maps,” a technique for\nthematic maps that relies on Bayesian reasoning to highlight interesting regions that might\notherwise be hidden in traditional maps. I conclude with a discussion of remaining challenges for\nvisual de-biasing, and how we might use visualizations to encourage better, data-driven\ndecision-making. \n\n\n 
DTSTART;TZID=Europe/Berlin:20170222T150000
LOCATION:VISUS Building , , Seminar room (00.012), Allmandring 19,
URL;VALUE=URI:https://www.vis.uni-stuttgart.de/aktuelles/veranstaltungen/Vortrag-Dr.-Michael-Correll-UW-Interactive-Data-Lab-at-the-University-of-Washington-Department-of-Computer-Science/
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