研究生: |
羅湘聆 Xiang-Ling Luo |
---|---|
論文名稱: |
人工智慧在面相學與Holland人格特質分析之應用 The Application of Artificial Intelligence in Physiognomy and Holland’s Personality Traits |
指導教授: |
張順教
Shun-Chiao Chang |
口試委員: |
賴法才
Fav-Tsoin Lai 吳世英 Shih-Ying Wu 吳克振 Cou-chen Wu 張順教 Shun-Chiao Chang |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 企業管理系 Department of Business Administration |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 英文 |
論文頁數: | 69 |
中文關鍵詞: | 人工智慧 、人臉辨識 、面相學 、Holland人格特質 |
外文關鍵詞: | AI, face recognition, physiognomy, Holland’s theory |
相關次數: | 點閱:588 下載:0 |
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本研究主要探討人們在使用AI面相分析系統的滿意度及對於複合型算命與未來運勢分析的意願,利用問卷調查,探討使用者在使用AI面相分析系統後,對於嘴巴、鼻子、眉毛與眼睛的類型與分析之感想,瞭解人們最在意的面部特徵與原因,同時對於複合型算命與運勢分析進行意願調查。
本研究將面相學對於個性之敘述與Holland人格特質的描述進行比對,將相似以及相互補充的部分整理歸納,並使用AI面相分析系統將AI人臉辨識的技術、中國面相學與Holland人格特質結合,對亞洲人臉特徵進行辨識與分析,並顯示出面部特徵與性格分析的結果。
本研究結果顯示,AI面相分析系統可快速地分析使用者的面部資訊,中國面相學與Holland人格特質相互整合更加完整描述使用者的性格,其呈現的結果與使用者自身性格相符,使用者最在意鼻子與眼睛的形狀,對於複合型的算命方式十分感興趣,對於未來分析的項目如財富運勢、健康運勢也有相當大的意願。
本研究對『AI面相分析系統』提出未來的應用以及改善方法,希望往後能夠透過此系統幫助亞洲人更加了解自身性格,並期望在未來能夠結合人力資源、財富管理及健康運勢分析,整合為更多元的系統。
The study explores people’s satisfaction with using the “AI facial features analysis system” and their willingness to engage in multiple types of fortune telling and future health and wealth analysis. Questionnaire surveys were used to explore the user’s perceptions of the mouth, nose, eyebrows and eyes after using the system. A willingness survey on multiple types of fortune telling and future health and wealth analysis was also included in the Questionnaire.
The AI facial features analysis system combined AI facial recognition technology, Chinese physiognomy and Holland’s personality traits to identify and analyze Asian people’s facial features and display the results within a short period of time.
The results of the study showed that the AI facial features analysis system could quickly analyze the user’s facial information. Physiognomy and Holland’s personality traits were integrated with the facial features analysis to describe the user’s personality more completely. The results were consistent with the users’ own personalities. People were concerned about the shape of the nose and eyes. They were very interested in various types of fortune telling and had considerable willingness to engage in future analysis such as that for wealth and health.
This study proposes future applications and improvements in relation to the AI facial features analysis system. The outcomes confirm that the system could help people understand their own personalities better in the future. We hope to integrate human resources, wealth management, and health fortune analysis with such a system in the future.
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