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研究生:林伯晏
研究生(外文):PO-YENLIN
論文名稱:應用使用者知覺價值模型於產品設計決策
論文名稱(外文):Applying User Perceived Value Model to Design Decisions: Using Run Tracking App As An Example
指導教授:劉說芳劉說芳引用關係
指導教授(外文):Shuo-Fang Liu
學位類別:碩士
校院名稱:國立成功大學
系所名稱:工業設計學系
學門:設計學門
學類:產品設計學類
論文種類:學術論文
論文出版年:2019
畢業學年度:107
語文別:中文
論文頁數:94
中文關鍵詞:知覺價值模型設計決策結構方程模式
外文關鍵詞:consumer perceived value modelStructural equation modeldesign decision
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隨著智慧型手機的普及與硬體發展,越來越多手機應用程式與服務型態出現,設計師與開發商無不希望能在競爭激烈的市場中,開發出比對手更成功的產品。然而面對前所未見的服務型態,順利的將產品所提供的服務與價值傳達給使用者,並且在眾多競爭對手中突出,變得越來越難。在此情況下,若能理解使用者對於產品價值的知覺方式,並進一步探討不同設計決策對於產品知覺價值的影響,將可以幫助產品設計師評估不同設計決策,更順利的將產品提供的服務價值傳遞給使用者。
本研究以運動紀錄此近年來新興的手機應用程式種類為例,將研究分為兩階段。在第一階段,本研究探討過去關於消費者知覺價值模型的的相關研究,以產品設計師的角度考慮其中各影響要素的優缺點與重要性,提出一以產品設計師所能影響之要素為主的使用者知覺價值模型,並設計量表測量模型中各要素,以結構方程模式驗證影響關係。第二階段則進一步探討不同設計決策對於產品知覺價值的影響,分析市場中運動紀錄手機應用程式的常見設計決策與決策的表現形式,以第一階段設計出之量表測量各表現形式,實際運用上階段的研究成果。
研究結果顯示使用者對於運動紀錄型手機應用程式的知覺價值會被知覺品質所影響,而知覺品質可由產品的美學特徵表現、功能特徵表現以及社交特徵表現所測量,其中知覺品質可解釋69%的知覺價值,而功能特徵要素則是與知覺品質最相關的產品要素,其次為美學特徵要素與社交特徵要素。而本研究亦透過驗證式因素分析確立了一可測量產品美學、功能及社交要素的量表。第二階段則實際分析現有產品的常見決策,將各決策表現形式的量表得分與其在市場中的趨勢比較,將設計決策分為確定型、差異化型、機會型及選擇型四種。設計師或開發商可以此架構分析產品與設計決策。在產品的層級,理解產品各面向的特徵中對使用者知覺價值影響最大的面向,作為開發或改良的重點。更進一步,在不同面向的設計決策層級,測量不同決策表現形式之得分以理解其對知覺價值的影響。
With the popularity and hardware development of smart phones, more and more mobile phone applications and service types have emerged. Designers and developers all hope to develop products that are more successful than their competitors in a highly competitive market. . However, in the face of unprecedented service types, it is becoming more and more difficult to successfully convey the services and values provided by the products to users and to stand out among many competitors. In this case, if you can understand the user's perceived of the value of the product and further explore the impact of different design decisions on the perceived value of the product, it will help the product designer to evaluate different design decisions and smoother the service value of the product. Passed to the user.
The results show that the perceived value of the running app is affected by the perceived quality, which can be measured by the aesthetic attributes, functional attributes, and social attributes, of the product. The perceived quality can explain 69% of perceived value, while functional feature elements are most relevant to perceived quality, followed by aesthetic attributes and social attributes. This study also develops a scale that measures the aesthetic, functional and social attributes of a product through a validation factor analysis. In the second stage, the common decisions of existing products are analyzed. The scores of the scales of each decision-making form are compared with their trends in the market. The design decisions are divided into four types: deterministic, differentiated, opportunistic and selective. Designers or developers can analyze product and design decisions with this model. At the level of the product, understanding the aspects of the product's various attributes that have the greatest impact on the user's perceived value. Furthermore, at different design-oriented decision-making levels, different decision-making performance scores are measured to understand their impact on perceived value.
摘要 i
SUMMARY ii
ACKNOWLEDGEMENT iii
TABLE OF CONTENTS iv
LIST OF TABLES vii
LIST OF FUGURE ix
CHAPTER 1 INTRODUCTION 1
1.1 Background And Motivation 1
1.2 Research Purpose 2
1.3 Research Framework 4
CHAPTER 2 LITERATURE REVIEW 6
2.1 Customer Perceived Value Model 6
2.1.1 The Extension of Customer Perceived Value Model 8
2.2 The relationship between products attributes and their perceived value 12
2.2.1 The influence of external attributes of products on perceived value 13
2.2.2 The Impact of product form on users 14
2.3 The Impact of Perceived Price 17
2.4 The Measurement of Customer Perceived Value 18
2.5 Summary 19
CHAPTER 3 RESEARCH METHOD 21
3.1 Structural Equation Modelling 21
3.1.1 The Process of SEM 22
3.1.2 Related Works 25
3.2 Survey Techniques 26
3.3 Reliability and Credibility 27
3.3.1 Reliability 27
3.3.2 Validity 28
CHAPTER 4 RESEARCH MODEL 30
4.1 Research Process 30
4.2 Establish Model 32
4.2.1 Measurement System 34
4.3 Scale development 36
4.4 Sample Collect and analysis 40
4.4.1 Design decisions for each aspect 40
4.4.2 Research Sample 42
4.5 Sample analysis Results 43
4.5.1 Results of Sample Function Element 43
4.5.2 Result of Sample Aesthetics Elements 48
4.5.3 Result of Sample Social Elements 51
4.6 Design Decision Table 54
4.6.1 Expression of Functional Elements 54
4.6.2 Expression of Aesthetics Elements 57
4.6.3 Expression of Social Elements 60
CHAPTER 5 RESULTS 61
5.1 Subjects Analysis 61
5.1.1 Gender distribution of subjects 61
5.1.2 Age distribution of subjects 61
5.1.3 Academic distribution of subjects 61
5.2 Confirmatory Factor Analysis 62
5.2.1 Confirmatory Factory Analysis of Overall Perceived Value scale 64
5.2.2 Confirmatory Factory Analysis of Aesthetics Element scale 66
5.2.3 Confirmatory Factory Analysis of Social Element scale 68
5.2.4 Confirmatory Factory Analysis of Overall Functional Element scale 70
5.2.5 Product Design Elements Perceived Value Scale 72
5.3 SEM 73
5.4 Summary of Stage 1 Analysis 76
5.5 Design Decision 77
5.5.1 Functional Elements Decisions 77
5.5.2 Aesthetics Elements Decisions 78
5.5.3 Social Elements Decisions 79
5.6 Summary of Stage 2 Analysis 80
CHAPTER 6 CONCLUSION 83
6.1 Discussion 83
6.2 Recommendations for Future Research 84
REFERENCE 85
APPENDIX 1 PROTOTYPES OF DESIGN DECISIONS 89
APPENDIX 2 QUESTIONNAIRE FOR STAGE 2 92
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