![]() |
|
以作者查詢圖書館館藏 、以作者查詢臺灣博碩士 、以作者查詢全國書目 、勘誤回報 、線上人數:135 、訪客IP:3.12.160.97
姓名 吳竺倩(Chu-Chien Wu) 查詢紙本館藏 畢業系所 企業管理學系 論文名稱 透過 Instagram 照片色調預測人格特質
(Predicting personality traits through Instagram picture tone)相關論文 檔案 [Endnote RIS 格式]
[Bibtex 格式]
[相關文章]
[文章引用]
[完整記錄]
[館藏目錄]
[檢視]
[下載]
- 本電子論文使用權限為同意立即開放。
- 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
- 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
摘要(中) 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。摘要(英) 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.關鍵字(中) ★ 照片色調
★ 支援向量機
★ 人格特質
★ 卷積神經網路關鍵字(英)
★ picture tone
★ personality traits
★ SVM
★ CNN論文目次 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.......................................................................................................................... 26參考文獻 [1] 美圖公司 (2019). " 2019 美圖台灣自拍粉皮書"
[2] Gerald Matthews, Ian J. Deary, Martha C. Whiteman. (2003). Personality Traits.
Cambridge University Press , Dec 4, 2003.
[3] Costa, P. T. & McCrae, R.R.( 1986). Personality stability and its implications for clinical psychology, Clinical Psychology Review, 6, pp.407-423.
[4] Zuckerman, M. (2002). Zuckerman-Kuhlman Personality Questionnaire (ZKPQ: An alternative Five-Factorial Model. In B. De Raad & M. Perugini (Eds.) Big five assessment (pps. 377-396). Seattle, WA: Hogrefe & Huber Publishers.
[5] Ferwerda, B., and Schedl, M., Tkalcic, M. (2014). To post or not to post: the effects of persuasive cues and group targeting mechanisms on posting behavior. In: SocialCom.
[6] Cerbus, G., & Nichols, R. C. (1963). Personality variables and response to color. Psychological Bulletin, 60(6), 566–575.
[7] Rebecca F. Nolan, Yong Dai, Patricia D. Stanley (1995). An Investigation of the Relationship between Color Choice and Depression Measured by the Beck Depression Inventory.
[8] Clifton, D. (2006). Basic need in a new light – Acolorful diagnosis. International Journal of Reality Therapy, 26 (1), 18-19.
[9] Fernando, M. L. D., Cernovsky, Z. Z., & Harricharan, R. (1992). Color preference of DSM-III-R bipolars and normal controls. Social Behavior and Personality, 20 (4), 247-250.
[10] Taylor Hartman (2000). The Character Code: Developing Character to Enhance Your Life. Jun 20, 2000.
[11] Vinciarelli, A., and Mohammadi, G. (2014). More personality in personality computing. IEEE Transactions on Affective Computing, 5 (3). Pp. 297-300. ISSN 1949-3045.
[12] 張曉珍.(2013).運用文字探勘技術在社群行為上之人格預測.
[13] J. Golbeck, C. Robles, and K. Turner. (2011). Predicting personality with social media. In Proceedings of the 29th ACM Conference on Human Factors in Computing Systems (CHI), May 2011.
[14] Celli, F., Pianesi, F., Stillwell, D., Kosinski, M . (2014).Workshop on computational personality recognition. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 1245-1246指導教授 許秉瑜(Ping-Yu Hsu) 審核日期 2022-7-6 推文 plurk
funp
live
udn
HD
myshare
netvibes
friend
youpush
delicious
baidu
網路書籤 Google bookmarks
del.icio.us
hemidemi
myshare