隨著網際網路以及行動裝置的發展與普及化，人們的生活方式也隨之適應與改變，在這人手一機的時代，人與人溝通交流的媒介即是使用行動裝置上的社群軟體。站在人機互動的層面上，無非是想要探討使用者在使用科技的行為與習慣是否會確實影響使用者。而在人際互動關係上，戀愛關係一直是人們容易提起興趣的話題，成人依附理論往往在戀愛關係方面的研究中被用來區分研究對象的性格，因此本研究主要針對處於戀愛關係中之社群軟體使用者，探討不同依附風格者會透過社群軟體採取何種關係維持行為，又這些行為是否會確實影響其戀愛關係。
本研究採用問卷方式，對200名處於戀愛關係之社群軟體使用者做調查，研究工具包含：人際依附風格量表、正向關係維持行為量表、負向關係維持行為量表以及關係評估量表，將問卷填答結果量化，並使用探索性因數分析與結構方程式模型來分析研究問題與驗證研究假設。本研究結果顯示，透過社群軟體從事保證、積極溝通、社交網路以及允許控制之關係維持行為能增加愛情滿意度；而透過社群軟體從事不忠之關係維持行為會降低愛情滿意度。另外，焦慮依附風格者與逃避依附風格者，透過社群軟體從事積極互動與社交網路行為能增加愛情滿意度；逃避依附風格者，透過社群軟體從不忠行為則會降低愛情滿意度。

With the development and popularization of the internet and mobile devices, people’s life style also change to adapt these new things. In today’s world, almost everyone has at least one mobile device. People communicate with each other using the social media through the smart phone or other mobile devices. Stand on the Human-Computer Interaction (HCI), the most important thing is to understand whether user behavior is actually effect social media users when they communicate or chat with other people. In the interpersonal relationship, romantic relation has always been a topic that people interested. Previous research of romantic relation usually use the adult attachment theory to distinguish the character of the objects.
In this study, we want to realize that different attachment style orientations people using relational maintenance behaviors through the social media will have positive or negative effect for their romantic relationship satisfaction.
Participants were 200 people currently involved in a romantic relationship and usually use social media in their normal life. The survey questions including attachment style orientations scale, positive relational maintenance behavior scale, negative relational maintenance behavior scale and relationship assessment scale. To analysis the research data, we use Exploratory Factor Analysis (EFS) and Structural Equation Model (SEM).The results of this study show that using relational maintenance behaviors of assurance, positivity, social networking and allow control through social media can improve romantic satisfaction. On the contract, using relational maintenance behaviors of infidelity through social media can reduce romantic satisfaction. Furthermore, we find that preoccupied attachment style and fearful attachment style people use positivity and social networking behavior to increase their love satisfaction. Also, fearful attachment use infidelity behavior to break their romantic relationship.

中文摘要 I
英文摘要 III
致謝 IV
目錄 V
表目次 IX
圖目次 X
第一章 緒論 1
第一節 研究背景 1
第二節 研究重要性 3
第三節 研究目的與問題 4
第二章 文獻回顧 5
第一節 依附理論 5
2.1.1 成人依附之定義 5
2.1.2 依附風格之演進 6
2.1.3 依附風格之相關研究 9
2.1.4 依附風格與愛情 10
第二節 關係維持行為 12
2.2.1 關係維持行為之定義與發展 12
2.2.2 關係維持行為之相關研究 15
2.2.3 關係維持行為與依附風格 16
第三節 社群軟體上關係維持行為 17
2.3.1 社群軟體 17
2.3.2 社群軟體上行為之相關研究 18
2.3.3 社群軟體上關係維持行為之相關研究 19
第四節 愛情關係滿意度 20
2.4.1 愛情關係之定義與理論 21
2.4.2 愛情品質與愛情滿意度 24
2.4.3 愛情滿意度與依附風格 25
2.4.4 愛情滿意度與關係維持行為 27
第五節 研究架構與研究假設 27
2.5.1 依附風格與愛情滿意度 28
2.5.2 依附風格與社群軟體上關係維持行為 29
2.5.3 社群軟體上關係維持行為與愛情滿意度 32
第三章 研究方法 34
第一節 研究對象 34
第二節 研究工具 34
3.2.1 依附風格量表 34
3.2.2 關系維持量表 37
3.2.3 愛情滿意度量表 42
第三節 資料分析工具 41
3.3.1 敘述性統計分析 41
3.2.2 信度與效度分析 41
3.2.3 結構方程式分析 42
第四章 研究結果 44
第一節 問卷基本資料調查結果 44
4.1.1 基本資料分析 44
4.1.2 社群軟體使用分析 45
4.1.3 依附風格分析 47
第二節 研究模型建構 49
4.2.1 潛在變項因數分析 49
4.2.1.1 正向關係維持行為因素分析 49
4.2.1.2 負向關係維持行為因素分析 61
4.2.1.3 愛情滿意度因素分析 68
4.2.2 結構方程式模型 74
4.2.2.1 正向關係維持行為之結構方程式 75
4.2.2.2 負向關係維持行為之結構方程式 77
第五章 討論、結論與建議 83
第一節 討論 83
5.1.1 依附風格與愛情滿意度 89
5.1.2 依附風格與透過社群軟體從事關係維持行為 92
5.1.3 透過社群軟體從事關係維持行為與愛情滿意度 96
5.1.4 依附風格透過社群軟體從事關係維持行為影響愛情滿意度之中介效果 97
第二節 結論與建議 100
第三節 研究限制與未來方向 102
5.3.1研究限制 102
5.3.2未來方向 103
參考文獻 104

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