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Adaptive Visualization Strategies Across Drawings, Diagrams, and Data Visualizations.
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Adaptive Visualization Strategies Across Drawings, Diagrams, and Data Visualizations.
자료유형  
 학위논문
Control Number  
0017162700
International Standard Book Number  
9798384457879
Dewey Decimal Classification Number  
152
Main Entry-Personal Name  
Huey, Holly.
Publication, Distribution, etc. (Imprint  
[S.l.] : University of California, San Diego., 2024
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2024
Physical Description  
152 p.
General Note  
Source: Dissertations Abstracts International, Volume: 86-04, Section: A.
General Note  
Advisor: Fan, Judith E.;Walker, Caren M.
Dissertation Note  
Thesis (Ph.D.)--University of California, San Diego, 2024.
Summary, Etc.  
요약From Paleolithic etchings to computational graphics, visualization technologies that enable us to externalize our thoughts have been critical to the communication of ideas to others and across generations. Not only have renderings like simple line-drawings been prolific across cultures, but in recent years, generative text-to-visual systems have dramatically decreased production barriers and have increasingly populated our modern world with rich artifacts of visual communication. The study of visual communication- how people express their knowledge in visual form-presents abundant opportunities and challenges to explore core mechanisms of human communication systems, because it relies on complex interactions between perception and pragmatics. What guides what visualization strategies people use to convey their ideas to others through visual form? My dissertation introduces new experimental methods to explore these strategies. Overall, I find that people's visual production behaviors shift what kind of information they prioritize depending on their task goals and find that their representational choices directly impact downstream interpretation by viewers. In Chapter 1, I investigate how communicative goals and immediate sensory inputs jointly determine the kind of visual information that people include in their drawings and find that people flexibly adapt their behavior to these different task goals by prioritizing different semantic information about visual object concepts. In Chapter 2, I explore how people adapt their visualization strategies when producing diagrams (called "visual explanations") of higher-level knowledge (e.g., object function vs. object appearance) and find that while these strategies facilitate inferences about physical mechanism, they do so at the expense visual fidelity and recognition of drawn objects. To evaluate whether such flexible visual communication behavior extends to more domain-specific knowledge, Chapter 3 explores how people evaluate what makes data visualization effective for different task goals and finds that people selectively prioritize different kinds of data visualization designs depending on what supports fast and accurate graph comprehension by viewers. Taken together, insights from these three lines of work build towards developing a more unified theory of visual communication and, ultimately, aim to better inform the development of human-centered visualization technologies guided by cognitive theories of visual communication.
Subject Added Entry-Topical Term  
Experimental psychology.
Subject Added Entry-Topical Term  
Communication.
Subject Added Entry-Topical Term  
Cognitive psychology.
Index Term-Uncontrolled  
Pragmatics
Index Term-Uncontrolled  
Semantic cognition
Index Term-Uncontrolled  
Visual communication
Index Term-Uncontrolled  
Visual object concepts
Index Term-Uncontrolled  
Visual production
Index Term-Uncontrolled  
Visual recognition
Added Entry-Corporate Name  
University of California, San Diego Psychology
Host Item Entry  
Dissertations Abstracts International. 86-04A.
Electronic Location and Access  
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Control Number  
joongbu:658172
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