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

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: How Familiarity Affects Perceived and Objective Task Performancerticipatory design sessions and qualitative and quantitative user studies are able to mitigate the effects of such bias. In this chapter, we discuss the potential causes and effects of familiarity related biases with examples from recent studies and reflect on the associated research questions.

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A Visualization Approach to Addressing Reviewer Bias in Holistic College Admissionsgoal of designing information visualization tools to support the process. We list examples of potential reviewer biases identified and present theoretical ideas on how the biases can be mitigated through visualization tools. These ideas include employing strategies that conflict with the conventiona

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n 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 som978-3-030-07104-2978-3-319-95831-6

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Studying Biases in Visualization Research: Framework and Methodsal analysis. We contrast our framework against the cognitive bias codex by Buster Benson. The framework is inspired by Norman’s Human Action Cycle and classifies biases into three levels: perceptual biases, action biases, and social biases. For each of the levels of cognitive processing, we discuss

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