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研究生： 吳竺倩
Chu-Chien Wu
論文名稱： 透過 Instagram 照片色調預測人格特質
Predicting personality traits through Instagram picture tone
指導教授： 許秉瑜
Ping-Yu Hsu
口試委員:
學位類別： 碩士
Master
系所名稱： 管理學院 - 企業管理學系
Department of Business Administration
論文出版年： 2022
畢業學年度： 110
語文別： 中文
論文頁數： 34
中文關鍵詞： 照片色調 、支援向量機 、人格特質 、卷積神經網路
外文關鍵詞： picture tone
相關次數： 點閱：10  下載：0 
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    • Instagram 是現今時下年輕人一種流行的社交網路應用程式，透過它可以發 布與分享照片和應用不同的照片濾鏡來調整圖片的外觀。調整過後的照片蛻化 成一幅帶有個人特色的作品，用戶可以自行創建想要表達給觀眾的感覺。
    本研究旨在透過對用戶的照片色調分析來推斷用戶的性格特徵。為了照片 色調與人格特質之間的關係，進行了問卷調查，要求受試者填寫人格特質問 卷，並通過授權本研究取得受試者的 Instagram 照片，採用照片色調作為 SVM 分類器及卷積神經網路模型之輸入，最後得出人格特質分類結果。

    Instagram today is a popular social networking application, which allows sharing photos and applying different photo filters to adjust the appearance of a picture. By applying these filters, the photo became a unique piece. users are able to create a style that they want to express to their audience.
    This study tried to infer personality traits from the way the user's pictures tone. the studied the relationship between picture tone and personality traits. And collect data, using online survey where asked participants to fill in a BFI-44 personality questionnaire, and grant access to their Instagram account and download.

    一、緒論............................................................................................................................1 1-1 研究背景...................................................................................................................1 1-2 研究動機...................................................................................................................3 1-3 研究目的...................................................................................................................4 1-4 研究架構...................................................................................................................5 二、文獻探討 ....................................................................................................................6 2-1 判斷圖片色調的方法 ............................................................................................... 6 2-1-1 RGB.........................................................................................................................6 2-1-2 CMYK ......................................................................................................................7 2-1-3 HSV .........................................................................................................................8 2-2 五大人格特質 ......................................................................................................... 10 2-3 以色調判斷人格特質的研究 ................................................................................. 13 2-4 支援向量機(SVM) ................................................................................................... 15 2-5 卷積神經網路(CNN)方法架構 ............................................................................... 16 三、研究方法 .................................................................................................................. 18 3-1 研究流程.................................................................................................................18 3-2 照片分析與處理 ..................................................................................................... 19 3-3 分類模型.................................................................................................................21 四、研究實驗 .................................................................................................................. 22 4-1 資料來源與搜集 ..................................................................................................... 22 4-2 實驗結果.................................................................................................................23 五、結果與未來研究建議 ...............................................................................................24 5-1 研究結論.................................................................................................................24 5-2 研究限制與未來研究建議 ..................................................................................... 25 參考文獻.......................................................................................................................... 26

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