在大數據時代，決策者面臨著多重目標和眾多備選方案的挑戰，這使得確定最佳方案變得複雜。本研究設計了一個以餐廳選擇決策為例的系統，希望能改善這一問題。 該系統允許決策者透過持續的資料探索來影響consequence table的生成。透過資料視覺化的技術，決策者能夠探索資料，生成符合決策需求的consequence table，並從眾多的備選方案中確定最佳方案。採用使用者研究方法，進行問卷調查和訪談。結果顯示該系統能夠有效幫助決策者生成符合其主觀意識的consequence table並選擇最終的最佳方案。透過充分利用資料視覺化的優勢，使決策者能夠做出更明智且符合目標的決策。

In the era of big data, decision makers are confronted with the challenges of multiple objectives and numerous alternatives, leading to complexity in determining the optimal course of action. This study introduces a system designed to address and improve upon this issue, using restaurant selection as an example. The system empowers decision makers to influence the generation of the consequence table through an iterative visual exploration of the data, ensuring the creation of a tailored consequence table that aligns with their decision making objectives. Leveraging advanced visualization techniques, the system enables decision makers to gain deeper insights into the data and select the best solution from a diverse set of alternatives. In a user study, we found that the system was able to help decision makers generate a consequence table that reflects their subjective consciousness and facilitates the identification of the optimal solution. This study hopes to leverage the inherent strengths of data visualization to enhance the decision making process and empower decision makers to make well-informed choices that align with specific criteria.

論文審定書 i
誌謝 ii
摘要 iii
Abstract iv
Table of Contents v
List of Figures vii
List of Table ix
CHAPTER 1 INTRODUCTION 1
CHAPTER 2 LITERATURE REVIEW 4
2.1 STRUCTURED DECISION MAKING 4
2.1.1 Problem 5
2.1.2 Objective 6
2.1.3 Alternative 6
2.1.4 Consequence 8
2.1.5 Trade-offs 9
2.3 DATA VISUALIZATION FOR DECISION MAKING 11
CHAPTER 3 SYSTEM DESIGN 14
3.1 USER REQUIREMENTS 15
3.2 DATASET 16
3.3 SYSTEM DESIGN 17
3.3.1 Decision making 20
3.3.2 Data Visualization 22
3.4 SYSTEM ARCHITECTURE AND IMPLEMENTATION 25
3.4.1 Adding Objectives to the Consequence Table 27
3.4.2 Fetching Data from the Database 27
3.4.3 Render the Consequence Table and Data Visualization 28
3.5 USAGE SCENARIO 34
CHAPTER 4 EVALUATION 37
4.1 PROCEDURE 38
4.2 METHOD 40
4.2.1 Tasks 42
4.2.2 Feedback after Each Task 46
4.2.3 Qualitative Feedback after Completion of All the Tasks 47
4.2.4 System Usability Scale (SUS) 47
4.3 RESULTS 48
4.3.1 Feedback after Each Task 48
4.3.2 Qualitative Feedback after Completion of All the Tasks 55
4.3.3 System Usability Scale (SUS) 56
CHAPTER 5 DISCUSSION 59
CHAPTER 6 CONCLUSION 63
REFERENCES 65
APPENDIX A : BASIC INFORMATION 68
APPENDIX B : SYSTEM TUTORIAL 69
APPENDIX C : QUESTIONNAIRE AND INTERVIEW QUESTIONS 71

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