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博碩士論文 etd-0710116-105629 詳細資訊
Title page for etd-0710116-105629
論文名稱
Title
網路醫療知識之視覺設計
Visualization design for online medical knowledge
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
68
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2016-07-18
繳交日期
Date of Submission
2016-08-10
關鍵字
Keywords
醫療網站、視覺化、醫療知識呈現、知識本體論、設計準則
Ontology, Design guideline, Medical website, Medical knowledge representation, Visualization
統計
Statistics
本論文已被瀏覽 5844 次,被下載 452
The thesis/dissertation has been browsed 5844 times, has been downloaded 452 times.
中文摘要
醫療網站包含醫療術語、病症、療程以及許多種類的醫療知識。對於一般大眾來說,若醫療網站的內容以純文字呈現將導致難以閱讀及理解。本研究探討在網路醫療知識中對一般大眾合適之呈現方法,以及,不同的呈現方法將如何影響閱讀習慣。本研究整合了相關醫療知識呈現之研究結果,設計出醫療知識呈現之設計準則,並且運用知識本體論之分類方法當作醫療網站之架構,以建立適合一般大眾之醫療知識網站。為了驗證本研究之設計,過程中招募三十二名人員,並且透過問卷、紙筆測驗、訪談以及眼動儀收集資料。透過了解參與者在不同呈現方法之眼動行為、測驗之進步幅度以及問卷內容,將能夠讓我們了解一般大眾在不同呈現方法下之閱讀行為、學習能力以及使用性。
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.
目次 Table of Contents
1. INTRODUCTION 1
1.1. BACKGROUND AND MOTIVATION 1
1.2. GRAPHIC-BASED REPRESENTATION 4
1.3. ONTOLOGY-BASED ARCHITECTURE 5
1.4. GOALS 6
1.5. RESEARCH QUESTION 8
2. RELATED WORK 9
2.1. COGNITIVE LOAD 9
2.2. MEDICAL KNOWLEDGE REPRESENTATION 11
2.2.1. MEDICAL KNOWLEDGE CLASSIFICATION 11
2.2.2. GRAPHIC PATHOGRAPHY 12
2.2.3. CONSTRUCTIVE VISUALIZATION 13
2.2.4. OTHERS DESIGN FEATURES 14
2.3. EYE TRACKER 15
3. METHODOLOGY 18
3.1. SUBJECTS 18
3.2. APPARATUS 19
3.3. MATERIALS 20
3.3.1. DESIGN GUIDELINE 20
3.3.2. LEARNING MATERIALS 27
3.4. EVALUATION METHODS 31
3.4.1. PAPER PENCIL TEST 31
3.4.2. EYE TRACKING 32
3.4.3. QUESTIONNAIRES 33
3.5. EXPERIMENT PROCEDURE 34
3.6. HYPOTHESES 35
4. RESULTS 39
4.1. MEDICAL KNOWLEDGE REPRESENTATION 39
4.1.1. PAPER PENCIL TEST ANALYSIS 39
4.1.2. EYE-TRACKING DATA ANALYSIS 42
4.1.3. REPRESENTAION QUESTIONNAIRE ANALYSIS 44
4.2. USABILITY OF MEDICAL WEBSITES 45
4.2.1. USABILITY QUESTIONNAIRE ALANYSIS 45
4.3. SUMMARY 48
5. CONCLUSIONS 52
5.1. SUMMARY 52
5.2. LIMITATIONS 53
5.3. FUTURE RESEARCH 54
6. REFERENCE 55
APPENDIXES 59
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