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論文名稱:基於影像與語音特徵來預測 第一印象‬的人格特質
論文名稱(外文):Prediction of First Impression Personality Traits using Deep Learning with Image and Voice data
指導教授(外文):Hsu, Chin-HsiungYeh, Hsiang-Yuan
口試委員(外文):Yeh, Hsiang-YuanLee, Chia-JungLin, Szu-Yin
外文關鍵詞:personality traitshuman resource managementdeep learningvisual and voice features‬
  • 被引用被引用:0
  • 點閱點閱:125
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Whether a company will succeed or not, a large part of the success factor is human resource management. "What an enterprise wants is not the best talents, but the most suitable partners." ‪It‬ shows that the ‪good talents not only have professional abilities, but also meet the personality traits.‬ The good talents make the resources invested by the company valuable, and develop in accordance with the long-term ‪processes‬ of the company's planning. We extract visual and voice features from interview videos to predict the five major personality traits of candidates during the first stage of screening resumes. Our ‪proposed method‬ is more accurate than models using only a single image or voice data‪ supported‬. Our research allows interviewers to have more reference information and more accurately determine whether the applicant's personality fits the culture and job position.
誌謝 i
中文摘要 ii
英文摘要 iii
目錄 iv
圖目錄 vi
表目錄 vii
第壹章 緒論 01
第一節 研究背景與動機 01
第二節 研究目的 02
第三節 研究貢獻 03
第貳章 文獻回顧 04
第一節 第一印象 04
第二節 人格特質 06
第三節 五大人格 07
第四節 人臉辨識 08
第五節 語音辨識 09
第六節 視覺模式分析-卷積神經網路10
第七節 音頻模式分析 13
第參章 研究方法 16
第一節 研究架構 17
第二節 評估模型 19
第肆章 研究分析 20
第一節 資料來源 20
第二節 原始資料分析 20
第三節 實驗結果評估 28
第伍章 結論與建議 31
參考文獻 33

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