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Adaptive Visualization Strategies Across Drawings, Diagrams, and Data Visualizations
Adaptive Visualization Strategies Across Drawings, Diagrams, and Data Visualizations
Adaptive Visualization Strategies Across Drawings, Diagrams, and Data Visualizations

Detailed Information

자료유형  
 학위논문 서양
최종처리일시  
20250211152043
ISBN  
9798384457879
DDC  
152
저자명  
Huey, Holly.
서명/저자  
Adaptive Visualization Strategies Across Drawings, Diagrams, and Data Visualizations
발행사항  
[Sl] : University of California, San Diego, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
152 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-04, Section: A.
주기사항  
Advisor: Fan, Judith E.;Walker, Caren M.
학위논문주기  
Thesis (Ph.D.)--University of California, San Diego, 2024.
초록/해제  
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.
일반주제명  
Experimental psychology
일반주제명  
Communication
일반주제명  
Cognitive psychology
키워드  
Pragmatics
키워드  
Semantic cognition
키워드  
Visual communication
키워드  
Visual object concepts
키워드  
Visual production
키워드  
Visual recognition
기타저자  
University of California, San Diego Psychology
기본자료저록  
Dissertations Abstracts International. 86-04A.
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■040    ▼aMiAaPQ▼cMiAaPQ
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■1001  ▼aHuey,  Holly.
■24510▼aAdaptive  Visualization  Strategies  Across  Drawings,  Diagrams,  and  Data  Visualizations
■260    ▼a[Sl]▼bUniversity  of  California,  San  Diego▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a152  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-04,  Section:  A.
■500    ▼aAdvisor:  Fan,  Judith  E.;Walker,  Caren  M.
■5021  ▼aThesis  (Ph.D.)--University  of  California,  San  Diego,  2024.
■520    ▼aFrom  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.
■590    ▼aSchool  code:  0033.
■650  4▼aExperimental  psychology
■650  4▼aCommunication
■650  4▼aCognitive  psychology
■653    ▼aPragmatics
■653    ▼aSemantic  cognition
■653    ▼aVisual  communication
■653    ▼aVisual  object  concepts
■653    ▼aVisual  production
■653    ▼aVisual  recognition
■690    ▼a0623
■690    ▼a0459
■690    ▼a0633
■71020▼aUniversity  of  California,  San  Diego▼bPsychology.
■7730  ▼tDissertations  Abstracts  International▼g86-04A.
■790    ▼a0033
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17162700▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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