隨著移動互聯網時代的到來，移動媒體變的更加的便攜、迅速和互動。社交網絡對人們日常生活的介入，使人們的社交方式發生了巨大的改變，作為在線音樂和社交新媒體碰撞的產物，音樂社交迅速發展，在短短的十幾年光陰中，我們可以發現音樂早已不只是一種用來滿足聽覺享受的工具，更是一種高效和便捷的社交工具。在音樂社交中，不同人格的群體會產生全然不同的偏好態度與影響，人格信息代表了對一個人特徵的高度概括，也是區分人類的科學和量化標准。人格不僅與人們在現實世界中的行為密切相關，而且與虛擬的網路社交行為也表現出高度的相關性。因此，本研究的討論基於「大五」人格模型理論，包含五類各具特色、互不相關的性格特徵：神經質、開放性、外向性、嚴謹性和宜人性。
本文採用「大五」人格量表和Kano模型分析法以131名年輕人為樣本進行調查，通過Kano模型的正反面問卷的調查形式對每一個需求發放問卷，分析問卷結果後確定各需求點的屬性歸類，再通過計算Better-Worse係數，確定各期望型需求的優先順序。其目的是探討不同人格對網絡音樂社交模式的偏好影響，以音樂社交APP為例，從而分析音樂社交行為的個體差異，並且通過與「大五」人格理論的分析調查及討論相結合，對不同人格、不同性別、不同地區的族群對待音樂社交的情感態度、對音樂社交APP的使用偏好；音樂社交對不同人格族群的優劣勢；通過何種方法來提高音樂社交對不同人格、不同性別、不同地區的族群的體驗感受等問題進行分析討論。

With the arrival of the mobile Internet era, mobile media has become more portable, rapid and interactive. The involvement of social networks in people's daily life has led to a huge change in the way people socialize. As a product of the collision of online music and new social media, music socialization has developed rapidly, and in the short span of more than a decade, we can find that music has long been more than just a tool to satisfy aural enjoyment, but also a highly efficient and convenient social tool. In music socialization, different personality groups will produce completely different preference attitudes and influences. Personality information represents a high degree of generalization of a person's characteristics, and is also a scientific and quantitative standard for distinguishing human beings. Personality is not only closely related to people's behavior in the real world, but also shows a high correlation with virtual online social behavior. Therefore, the discussion in this study is based on the theory of the Big Five personality model, which consists of five distinctive and unrelated personality traits: Neuroticism, Openness, Extraversion, Strictness, and Agreeableness.
In this paper, the "Big Five" personality scale and Kano model analysis were used to conduct a survey with a sample of 131 young people. A questionnaire was sent to each demand through the Kano model in the form of positive and negative questionnaires, and the results of the questionnaires were analyzed to determine the attributes of each demand, and then the Better-Worse coefficients were computed to determine the priority of each desired demand. The purpose of this study is to explore the influence of different personalities' preferences on online music socialization modes, and to analyze the individual differences in music socialization behaviors by taking music socialization apps as an example. By combining this study with the analysis and discussion of the "Big Five" personality theory, we can analyze the emotional attitudes of different personalities, genders, and regions towards music socialization, their preference for music socialization apps, and the strengths and weaknesses of music socialization for different personalities, as well as the advantages and disadvantages of different personalities through the analysis of the Big Five. The advantages and disadvantages of music socialization for different personality groups, and the ways to improve the experience of music socialization for different personality groups, different genders, and different regions are analyzed and discussed.

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