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Human Bias in Visual Data Analysis de Emily Wall

Human Bias in Visual Data Analysis: Synthesis Lectures on Visualization

Autor Emily Wall
en Limba Engleză Hardback – 13 ian 2026

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Specificații

ISBN-13: 9783032093066
ISBN-10: 3032093066
Pagini: 240
Ilustrații: IX, 229 p. 59 illus., 57 illus. in color.
Dimensiuni: 173 x 246 x 19 mm
Greutate: 0.58 kg
Editura: Springer
Colecția Synthesis Lectures on Visualization
Seria Synthesis Lectures on Visualization

Notă biografică

Dr. Emily Wall is an Assistant Professor of Computer Science at Emory University where she directs the Cognition and Visualization (CAV) Lab. She and her students work on problems that involve decision making using visual data analysis, including developing computational strategies to characterize human limitations in decision making (e.g., cognitive bias) and designing and building interventions that promote reflective data analysis and decision making practices. She completed her Ph.D. in Computer Science at Georgia Tech in 2020, then completed a postdoctoral fellowship at Northwestern University. Her dissertation work was recognized with an honorable mention for Best Dissertation by the Visualization and Graphics Technical Community (TVCG). Her work has since been funded by the National Science Foundation, including a CAREER award for her work on "Promoting Metacognition in Visual Analytics."