Search results
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Title
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Cognitive biases in decision-making under uncertainty with interactive data visualizations
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Author
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Wesslen, Ryan
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Date Created
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2021
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Subjects--Topical
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Computer science, Cognitive psychology, Information science
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Description
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In this thesis, we hypothesize that data visualization users are subject to systematic errors, or cognitive biases, in decision-making under uncertainty. Based on research from psychology, behavioral economics, and cognitive science, we design fiv...
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Title
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Interactive Exploratory Visual Analytics Approach for Distributed Spatiotemporal Data
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Author
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Nayeem, Abdullah-Al-Raihan
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Date Created
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2023
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Subjects--Topical
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Computer science, Information science
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Description
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Spatiotemporal visual analysis research is rapidly emerging and evolving, as scientists engaging in cross-domain research efforts, introducing novel systems to perform data-driven spatiotemporal analysis in several domains such as astronomy, clima...
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Title
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Leveraging Visual Analytics for Modeling Online User Behavior on Social Media
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Author
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ElTayeby, Omar
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Date Created
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2020
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Subjects--Topical
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Computer science
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Description
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Analysts and domain experts in various fields rely on collecting data about their subjects to understand and predict their behavior. Characterizing and modeling human behavior requires analyzing extensive amounts of data from heterogeneous sources...
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Title
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Scaffolding Reflective Practice with an Ecology of Data-Driven Reflection Support Tools
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Author
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MacNeil, Stephen
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Date Created
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2019
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Subjects--Topical
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Computer science, Education, Psychology
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Description
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Reflection is a process of converting experience into understanding. Through the process of reflection, students actively engage in sense-making around an experience; situating it within their existing experiences, beliefs, and knowledge. Though m...
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Title
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VISUAL ANALYTICS IN HIGH-DIMENSIONAL DATA WITH DICHOTOMOUS OUTCOME
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Author
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Zhang, Chong
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Date Created
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2017
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Subjects--Topical
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Computer science
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Description
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High-dimensional data becomes common in application areas such as environmental studies and healthcare. The high dimensionality presents opportunities for understanding how certain outcomes happen by identifying significant variables contributing ...