Title page for etd-0710116-105629


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URN etd-0710116-105629
Author Ren-Yi Hung
Author's Email Address No Public.
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Department Information Management
Year 2015
Semester 2
Degree Master
Type of Document
Language English
Title Visualization design for online medical knowledge
Date of Defense 2016-07-18
Page Count 68
Keyword
  • Ontology
  • Design guideline
  • Medical website
  • Medical knowledge representation
  • Visualization
  • Abstract Text-based medical website which includes medical terms, diseases, treatments, and many types of medical knowledge leads to hard reading and low comprehension for general public. This study investigates the appropriate representations of online medical knowledge for general public and the different representations effect on human reading behavior. We integrated several researches’ results on the representations of medical knowledge as the design guideline and utilized an ontology-based classification as the website architecture to investigate how to present medical knowledge to general public. To verify our design, thirty-two participants were recruited for this study, and multiple methods were employed to collect data, including questionnaires, pencil and paper tests, interview, and eye tracking analysis. Eliciting participants’ viewing behaviors and test recall rate benefit us understanding the reading behavior, learnability and usability of various users on different kinds of medical websites.
    Advisory Committee
  • Te-Min Chang - chair
  • Hao-Chuan Wang - co-chair
  • Yi-Ling Lin - advisor
  • Files
  • etd-0710116-105629.pdf
  • indicate access worldwide
    Date of Submission 2016-08-10

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