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研究生: 周昭誠
Chou, Chao-Cheng
論文名稱: 探討使用者需求與喜好之功能於智慧家庭之節能App研究
A Study on the User Demand and Preference Functions for Energy Saving App of Smart Home
指導教授: 謝孟達
Shieh, Meng-Dar
學位類別: 碩士
Master
系所名稱: 規劃與設計學院 - 工業設計學系
Department of Industrial Design
論文出版年: 2013
畢業學年度: 101
語文別: 英文
論文頁數: 104
中文關鍵詞: 智慧家庭節能因素分析迴歸分析
外文關鍵詞: Smart home, Energy saving, Factor analysis, Regression analysis
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  • 有鑒於智慧家庭的發展在未來是一大趨勢,近年來應用在智慧家庭之應用程式也已經逐漸被開發和應用在市場上,而本研究將針對智慧型手機節能的應用程式為研究對象,探討未來應用在智慧家庭之節能應用程式所需之功能,同時掌握使用者對於節能App 操作上的喜好,期望未來能夠有助於應用在個人或家庭方面的節約能源。
    本研究透過焦點團體法針對現有節能App 進行功能分類、KJ 法評估與篩選取得所需之主要功能,建立本研究所需之實驗樣本,同時篩選出現有之樣本後,透過實驗操作評估與ANOVA 分析,同時證明本研究所提出之提醒功能是未來所必需之功能,藉此提出在未來智慧家庭使用之節能應用程式所必須包含之功能,以期未來可以廣泛應用在各個家庭中,進而傳達永續發展的未來生活。
    最後本研究透過分析方法,歸納出四項主要功能,分別是“預算"、“監控”、“紀錄"和“最佳化用電",同時取得個別所包含之所有功能資訊。然後再透過迴歸分析取得必要之功能資訊,並對照ANOVA 分析之顯著項目,顯示每項功能資訊對於使用者所代表之功能意義,期望藉此可以做為廠商或節能相關開發設計時的參考或依據。

    The trend of smart homes is developing gradually, and several smart home applications have been developed and applied to the market in recent years. This thesis focuses on the energy-saving Apps executed on smart phones, and discusses the required functions of the energy-saving Apps applied to the realization of smart homes in the future. The thesis aims to realize the user preferences for the operating function of the energy-saving Apps and expects it will be helpful for energy saving in future households.
    In this research, in order to obtain the required function upon which to establish experimental samples, the existing energy-saving Apps will be classified according to different functions, by means of Focus Group; then, the significant functions will be assessed and sifted by the KJ method. The proposed required functions may be proved after screening the existing samples through the experiment, assessment and analysis. The proposed functions of energy-saving applications are expected to be included in the smart homes, and widely used in the future for a more sustainable life.
    The result of analysis indicates that the four main functions are "Budget", "Monitor", "Record" and "Optimal usage". Furthermore, the result obtained shows their functional information, respectively. Finally, the findings related to functional information show the functional meaning for the consumer by the regression analysis and contrast the significance by ANOVA. Therefore, the results are expected to serve as reference for the manufacturers in development.

    Abstract ................................................. I 摘要 .................................................... II Acknowledgements ....................................... III CONTENTS ................................................ IV LIST OF TABLES .......................................... VI LIST OF FIGURES ....................................... VIII CHAPTER 1 INTRODUCTION ................................... 9 1.1 Background ........................................... 9 1.2 Motivation .......................................... 10 1.3 Purpose ............................................. 10 1.4 Constraints ......................................... 11 1.5 Organization ........................................ 11 CHAPTER 2 LITERATURE REVIEW ............................. 14 2.1 Smart Home .......................................... 14 2.1.1 Development and Application ....................... 15 2.1.2 Recent studies .................................... 18 CHAPTER 3 METHODOLOGY ................................... 21 3.1 Focus groups ........................................ 22 3.2 KJ method ........................................... 23 3.3 One-way ANOVA ....................................... 26 3.4 Factor Analysis ..................................... 27 3.5 Multiple Regression Analysis ........................ 28 3.6 Framework ........................................... 29 CHAPTER 4 PROCEDURE ..................................... 31 4.1 Pre-Procedure ....................................... 31 4.1.1 Existing sample research and statistics ........... 31 4.1.2 Function generalizing and grouping ................ 34 4.2 Establishing Experimental Samples ................... 39 4.3 Creating a Task List and Questionnaire .............. 42 4.5 Evaluation of the Energy-Saving Sample .............. 46 4.6 Difference Certification ............................ 48 4.7 Sorting Analysis of the Summarization Function ...... 53 4.8 Factor Analysis ..................................... 56 4.8.1 Factor Analysis of “Budget” function .............. 56 4.8.2 Factor Analysis of “Monitor” Function ............. 59 4.8.3 Factor Analysis of “Record” Function .............. 60 4.8.4 Factor Analysis of “Optimal usage” function ....... 64 4.9 Regression Analysis ................................. 66 4.9.1 Regression Analysis of “Budget” Function .......... 67 4.9.2 Regression Analysis of “Monitor” Function ......... 70 4.9.3 Regression Analysis of “Record” function .......... 76 4.9.4 Regression Analysis of “Optimal usage” Function ... 79 4.10 Verification ....................................... 83 CHAPTER 5 CONCLUSIONS ................................... 87 5.1 Discussion .......................................... 87 5.2 The Result of Regression Analysis ................... 88 5.3 Summary Analysis .................................... 91 5.4 Future Work ......................................... 93 REFERENCES............................................... 94 APPENDIX ................................................ 97

    Chinese Section
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    English Section
    Mahmoud A. Al-Qutayri and Jeedella S. Jeedella (2010). Integrated Wireless Technologies for Smart Homes Applications, Smart Home Systems, Mahmoud A. Al-Qutayri (Ed.), ISBN: 978-953-307-050-6, InTech, Available from:http://www.intechopen.com/books/smart-home systems/integrated-wirel ess-technologies-for- smart-homes-applications
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