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研究生: 劉宜瑾
I-Chin Liu
論文名稱: 圖表於行動裝置下瀏覽之使用性評估
The Usability Evaluation of Charts and Tables on Mobile Device
指導教授: 林久翔
Chiu-Hsiang Lin
口試委員: 江行全
Bernard C. Jiang
梁曉帆
Sheau-Farn Liang
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 58
中文關鍵詞: 自適應網頁設計圖表自適應
外文關鍵詞: Responsive Web Design, Responsive Charts
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隨著發展的成熟,行動裝置不再只有娛樂的性質,它的便利性和彈性成為了物聯網時代的一把利器,讓資訊不再被時間和地域所侷限。然而行動裝置和一般電腦裝置的螢幕尺寸及解析度差異顯而易見,為使開發人員易於設計,同時維持使用者在轉移裝置時的使用經驗,自適應網頁應運而生。雖然目前的研究已證實自適應網頁確實能提升使用者的優使性,然而對於圖表的自適應卻少有研究,圖表的自適應不僅僅是放大和縮小,還涉及了數據的密度及圖表的比例是否失真。本研究以數據視覺化的三種常見方式,長條圖、折線圖和表格為基礎,在圖表內容皆清晰可見為前提下,進行當圖表大於螢幕時的呈現方式之研究,包含直接拖移圖表與切割圖表兩種呈現方式,透過11位受測者進行兩種數據大小及兩種介面呈現的任務測試,並得出客觀的任務績效數據與主觀的優使性及心智負荷評估。實驗結果發現在長條圖中,切割圖表能提供使用者更好的優使性與有效降低心智負荷;而折線圖則需視資料量大小而定,資料量過大時不適用切割圖表的方式呈現;而表格中,則是有固定欄位功能之表格能帶來更佳的優使性及較低的心智負荷。也期望本研究之結果,能為圖表自適應的初步發展帶來貢獻。


The convenience and flexibility of mobile devices have become a weapon in the Internet of Things era; therefore information is no longer limited by time and region. However, difference in screen size and resolution between mobile devices and general computer devices is obvious. In order to make it easy for developers to design and maintain the user's experience in transferring devices, responsive web design (RWD) have emerged. Although current researches have confirmed that the RWD can improve usability, there is little researches on the responsive charts. The responsive charts is not only about the scaling, but also about the density of data and whether distortion or not. This study is based on three common ways of data visualization including bar charts, line charts and tables. Under the premise of clear chart content, the study has a factorial experiment design which has two factors, data size and segmentation. The experiment was implemented by 11 subjects; and the data of objective task performance, subjective usability and mental load assessment were obtained. The results suggested that in the bar charts, the cutting chart can provide users with better usability and reduce the mental load; while the line charts depended on the amount of data; when the amount of data is too large, it is not applicable to the cutting chart. In the table, the table with fixed column function can bring better usability and lower mental load. It is also expected that the results of this study will contribute to the initial development of responsive charts.

摘要 ii Abstract iii Contents iv List of Tables vi List of Figures vii Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivation 3 1.3 Research Objective and Hypothesis 4 Chapter 2 Literature Review 5 2.1 Responsive Web Design 5 2.2 Data Visualization 6 2.2.1 Table 7 2.2.2 Chart 7 2.2.3 Responsive Data Visualization 9 2.3 Graphical Perception 10 2.4 User Interface Design Evaluation 11 2.4.1 System Usability Scale (SUS) 12 2.4.2 NASA-Task Load Index (NASA-TLX) 13 Chapter 3 Methods 15 3.1 Subjects 15 3.2 Apparatus and Tools 16 3.3 Experiment Design 17 3.4 Experiment Procedure 19 Chapter 4 Results 22 4.1 Task completion time 22 4.2 Subjective Assessment 27 4.2.1 SUS 28 4.2.2 NASA-TLX 33 Chapter 5 Discussion 37 5.1 The effect of segmentation on performance 38 5.2 The effect of segmentation on usability 40 5.3 The effect of segmentation on mental workload 41 Chapter 6 Conclusions 43 6.1 Conclusion 43 6.2 Limitation 44 6.3 Future Research 44 REFERENCES 45 APPENDIX I – System Usability Scale (SUS) 51 APPENDIX II – NASA-Task Load Index 53 APPENDIX III – The diagram of experimental interfaces 54 APPENDIX IV – The task of experiment 57

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