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dc.contributor.advisorEndert, Alex
dc.contributor.authorWall, Emily
dc.date.accessioned2020-09-08T12:44:45Z
dc.date.available2020-09-08T12:44:45Z
dc.date.created2020-08
dc.date.issued2020-05-17
dc.date.submittedAugust 2020
dc.identifier.urihttp://hdl.handle.net/1853/63597
dc.description.abstractPeople are susceptible to a multitude of biases, including perceptual biases and illusions; cognitive biases like confirmation bias or anchoring bias; and social biases like racial or gender bias that are borne of cultural experiences and stereotypes. As humans are an integral part of data analysis and decision making in many domains, their biases can be injected into and even amplified by models and algorithms. This dissertation focuses on developing a better understanding of the role of human biases in visual data analysis. It is comprised of three high-level goals: 1. Define bias: We present four common perspectives on the term “bias” and describe how they are relevant in the context of visual data analysis. 2. Detect bias: We introduce a set of computational bias metrics that, applied to user interaction sequences in real-time, can be used to approximate bias in the user’s analysis process. 3. Mitigate bias: We describe a design space of ways in which visualizations might be modified to increase awareness of bias. We implement a system which integrates and visualizes the bias metrics and show how it can increase awareness of bias.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectVisual analytics
dc.subjectData visualization
dc.subjectInformation visualization
dc.subjectVisualization
dc.subjectBias
dc.subjectHuman bias
dc.subjectCognitive bias
dc.subjectHuman-computer interaction
dc.subjectHCI
dc.titleDetecting and mitigating human bias in visual analytics
dc.typeDissertation
dc.description.degreePh.D.
dc.contributor.departmentInteractive Computing
thesis.degree.levelDoctoral
dc.contributor.committeeMemberStasko, John
dc.contributor.committeeMemberChau, Polo
dc.contributor.committeeMemberFisher, Brian
dc.contributor.committeeMemberDou, Wenwen
dc.date.updated2020-09-08T12:44:45Z


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