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Titlebook: Cognitive Biases in Visualizations; Geoffrey Ellis Book 2018 Springer Nature Switzerland AG 2018 Visual Analytics.Information Visualisatio

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书目名称Cognitive Biases in Visualizations
编辑Geoffrey Ellis
视频video
概述Provides an insight into how visual analytic systems, can provide effective support for mitigating key cognitive biases.Assists readers with designing user studies to measure cognitive biases.Includes
图书封面Titlebook: Cognitive Biases in Visualizations;  Geoffrey Ellis Book 2018 Springer Nature Switzerland AG 2018 Visual Analytics.Information Visualisatio
描述.This book brings together the latest research in this new and exciting area of visualization, looking at classifying and modelling cognitive biases, together with user studies which reveal their undesirable impact on human judgement, and demonstrating how visual analytic techniques can provide effective support for mitigating key biases. A comprehensive coverage of this very relevant topic is provided though this collection of extended papers from the successful DECISIVe workshop at IEEE VIS, together with an introduction to cognitive biases and an invited chapter from a leading expert in intelligence analysis..Cognitive Biases in Visualizations. will be of interest to a wide audience from those studying cognitive biases to visualization designers and practitioners. It offers a choice of research frameworks, help with the design of user studies, and proposals for the effective measurement of biases. The impact of human visualization literacy, competence and human cognition on cognitive biases are also examined, as well as the notion of system-induced biases. The well referenced chapters provide an excellent starting point for gaining an awareness of the detrimental effect that som
出版日期Book 2018
关键词Visual Analytics; Information Visualisation; Visual Cognition; Decision Science; Human Computer Interact
版次1
doihttps://doi.org/10.1007/978-3-319-95831-6
isbn_softcover978-3-030-07104-2
isbn_ebook978-3-319-95831-6
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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https://doi.org/10.1007/978-3-319-95831-6Visual Analytics; Information Visualisation; Visual Cognition; Decision Science; Human Computer Interact
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https://doi.org/10.1007/978-3-8349-9814-9patterns with the system. Because such systems rely on incorporating implicit and explicit user feedback, they are particularly susceptible to the injection and propagation of human biases. To ultimately guard against the potentially negative effects of systems biased by human users, we must first q
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Selected Essays in Empirical Asset Pricingristic used by domain experts while choosing or designing a visualization is often their prior familiarity with an encoding choice or a visual representation. However, familiar visualizations and encodings within a domain are often in conflict with the optimality of visualization design, in terms of
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