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系統識別號 U0026-2001201601233600
論文名稱(中文) 以物聯網為基礎發展之人聯網服務平台
論文名稱(英文) An “Internet of People” Platform Based on Internet of Things
校院名稱 成功大學
系所名稱(中) 工業設計學系
系所名稱(英) Department of Industrial Design
學年度 104
學期 1
出版年 105
研究生(中文) 何宗遠
研究生(英文) Tsung-Yuan Ho
電子信箱 ap313620@gmail.com
學號 P36014080
學位類別 碩士
語文別 英文
論文頁數 80頁
口試委員 指導教授-陳建旭
口試委員-吳豐光
口試委員-洪郁修
口試委員-李傳房
中文關鍵字 物聯網  社群網路服務  服務設計  大數據分析  互動性 
英文關鍵字 Internet of Thing  Social Network Service  Service Design  Big Data  Interactivity 
學科別分類
中文摘要 本研究主要想探討運用物聯網建構出適合真實世界互動的虛擬資訊架構。故首先藉由文獻探討人聯網與現有物聯網架構在人類互動上,虛擬資訊流動及實際互動的異同,找出物聯網沒有涵蓋的部分,提出自己的想法,最後提出一人聯網的架構及運作模式,並實際製作出基於人聯網架構的服務平台 MoodMap。MoodMap平台採用人聯網架構收集使用者的心情並做出分析,顯示在城市地圖給予使用者觀察城市心情趨勢之能力,並利用參與觀察法及深度訪談法獲得使用者的回饋,以驗證人聯網架構確實可運用物聯網特性,運用在人類社交行為上,並增進使用者的互動意願及互動內容,以及用於社群互動及分析方面,而後討論實際運用MoodMap平台時,對使用者和資訊提供者在互動上產生的影響。並討論現有可能的實作技術以及適合的環境及場域,最後探討本架構的價值、以及可能的應用。
英文摘要 This research tries to define and verify the IoT system implement on People situation and generate a new structure – Internet of People. By modified the definition and values of IoT, our research try to build the definition and structure of IoP, and try to verify it will improve human’s face-to-face communication and macroscopic user data management – just like IoT’s value for things and people.
We build an application called Moodmap to collect the user’s moods information from peoples and shows user’s and city’s scope analyzed data for people. And this research purpose that IoP structure – IoT on People really have “Encourage user to Interact Motivation” and “Value for society/macroscopic use” ability for user like IoT system value for things.
論文目次 摘要 ii
SUMMARY iii
ACKNOWLEDGEMENTS iv
TABLE OF CONTENTS v
LIST OF TABLES viii
LIST OF FIGURES ix
LIST OF SYMBOLS AND ABBREVIATIONS xi
CHAPTER 1 INTRODUCTION 1
1.1 Background 1
1.1.1 From IP on Everything to IOT 1
1.1.2 Internet of Thing and Argument Reality 3
1.2 Motivation 5
1.3 Purposes 7
1.4 Limitations of the Study 9
CHAPTER 2 LITERATURE REVIEW 10
2.1 Internet of Things, IoT 10
2.1.1 Definition 10
2.1.2 IoT’s Structure and Component 13
2.1.3 IoT’s Applications in Interaction Field. 14
2.2 Social Network Service, SNS 17
2.2.1 Basic Definition 17
2.2.2 History 17
2.3 Argument Reality, AR 19
2.3.1 Basic Definition 19
2.3.2 Mobile Argument Reality, MAR 19
2.4 Interactivity 22
2.5 Progress between Network Technology and Human Interaction 24
CHAPTER 3 RESEARCH FRAMEWORK 26
3.1 Research Flow 26
3.2 Framework of IoP 29
3.2.1 New Usage of the IoT 29
3.2.2 The Definition of IoP 31
3.2.3 The Structure of IoP 32
3.2.4 Data Collection Difference between IoP and IoT 34
3.2.5 Data Usage in IoP 36
3.2.6 Operation Model of IoP 38
3.2.7 IoP and IoT Difference in Application 39
3.2.8 IoP’s Values 40
CHAPTER 4 DESIGN GUIDELINES OF IOP 42
4.1 Application Layer 42
4.2 Network Layer 43
4.3 Sensor Layer 44
CHAPTER 5 APPLICATION IMPLEMENTATION 46
5.1 Concept Overview 46
5.1.1 Application Layer of Service 47
5.1.2 Network Layer of Service 47
5.1.3 Sensor & Human Layer of Service 47
5.2 Service Overview 48
5.2.1 Services Flow 49
5.3 Service Design Revision 50
5.4 System Operation Flow 52
5.4.1 System input interface 52
5.4.2 System display interface 53
5.5 Functions Implement 58
5.5.1 Google Maps API 58
5.5.2 System Structure 58
5.5.3 Database Structure 59
CHAPTER 6 EVALUATION 61
6.1 Participant selection 61
6.2 Experimental Procedure 62
6.3 Experiment design 64
6.3.1 Experiment description 64
6.3.2 Focus group and interview design. 64
6.4 Experiment process 66
6.5 Result and Discussion 68
6.5.1 Enhance user’s Interaction Activity 68
6.5.2 Encourage user Motivation to Interact 69
6.5.3 Value for society/macroscopic use 70
6.5.4 Difference between Normal Service 71
6.5.5 System Usability and Comment 72
CHAPTER 7 CONCLUSION 73
7.1 Summary 73
7.2 Suggestions 74
7.2.1 IoP’s effects on Enhance user’s interaction 74
7.2.2 IoP on Social media service 75
7.2.3 IoP on Biodata collection 75
CHAPTER 8 REFERENCES 76
Appendix A INTERVIEW OUTLINES 80
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