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.

Abdulrahman, S.A. and Ganasegeran, K. (2020). “Artificial Intelligence Applications in Tracking Health Behaviors During Disease Epidemics,” Learning and Analytics in Intelligent Systems, In: Hemanth, D. (eds) Human Behaviour Analysis Using Intelligent Systems, pp. 141-155, Springer, Cham.

Ahmed, A., Ahmed, S. and Salahuddin, T. (2019). “How RIASEC Personality Traits Crystallizes Occupational Preferences among Adolescents: Match or Mismatch,” Pakistan Journal of Commerce and Social Sciences, 13(4), pp. 976-996.

Ahmed, M., Khan, A., Siddique, A. and Siddiqui, M.F. (2020). “Face Detection and Recognition System for Enhancing Security Measures Using Artificial Intelligence System,” Indian Journal of Science and Technology, 13(09), pp.1057-1064.

Chen, X., Dong, Z., Wei, J. and Zheng, P. (2020). “Face Detection in Security Monitoring Based on Artificial Intelligence Video Retrieval Technology,” IEEE Access, 8, pp. 63421-63433.

Chen, Z.-Y. (2005). “Do It Right the First Time You Learn Physiognomy,” Chih-Ching Pin Tao Ltd., Taiwan.

Edmonds, G. W., Hampson., S. E., Lievens, F. and Woods, S. A. (2020). “How our Work Influences Who We are: Testing a Theory of Vocational and Personality Development over Fifty Years,” Journal of Research in Personality, (85), 103930

Fernández, C., Martínez‐Rach, M.O. and Vicente, MA. (2020). “Implementation of a Face Recognition System as Experimental Practices in an Artificial Intelligence and Pattern Recognition Course,” Computer Applications in Engineering Education, 28(3), pp. 497– 511.
Han, Y. and Sears, G. J. (2020). “The Influence of Holland’s Vocational Interests on Work‐Family Conflict: An Exploratory Analysis,” Journal of Employment Counseling, 57(2), pp. 66-84.

Hariri, W. (2020). “Efficient Masked Face Recognition Method during the COVID-19 Pandemic,” PREPRINT, Jul, 23, 2020.

Henn C., Morgan, B., Naidoo, A.V. and Rabie, S. (2019). “Using Interests and Holland’s Model of Vocational Personality Types in Career Counselling: Some Thoughts and Research Findings,” In Maree, J. (eds) Handbook of Innovative Career Counselling, pp. 485-503.

Holland, J. L. (1959). “A Theory of Vocational Choice,” Journal of Counseling Psychology, 6(1), pp. 35-45.

Holland, J. L. (1997). Making Vocational Choices: A Theory of Vocational Personalities and Work Environments (3rd ed.), Psychological Assessment Resources.

Hsieh, Y-C. (2015). “Teach You How to Know the Face and the Heart through Physiognomy, 100 Detailed Illustrations of the Facial Features of the Noble and the Villain,” China Times Publishing Co, Taiwan.

Hsu, W.-C. (2014). “Diagram the Physiognomy from I Ching,” Hua-Wei Kuo Chi Ltd., Taiwan.

Huang, H.-Y. (2013). “Physiognomy: Read This Book if You Want to Know Details of in Physiognomy,” Chih-Ching Pin Tao Ltd., Taiwan.

Hübner, N., Nagengast, B., Spengler, M., Stoll, G., Trautwein, U. and Usslepp, N. (2020). “RIASEC Interests and the Big Five Personality Traits Matter for Life Success—But Do They Already Matter for Educational Track Choices?” Journal of Personality, 88(5), pp. 1007-1024.
Leong, W.-H. (2014). “A Study on the Body-mind Theory in Ma-yi’s Physiognomy,” National Taiwan University, Executive Master of Public Affairs, Taiwan.

Lin, C.-L. (2020). “A Study on Xiao Xiang’s Physiognomy Theory and Popularization,” Aletheia University, Executive Master of Public Affairs, Taiwan.

Lins, S., Thiebes, S. and Sunyaev, A. (2020). “Trustworthy Artificial Intelligence,” Electronic Markets, October, 01, 2020.

Liu, B., Xiong, J., Wu, Y., Ding, M. and Wu, C.M. (2019). “Protecting Multimedia Privacy from Both Humans and AI,” IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, pp. 1-6.

Maji, A.K., Wahlang, I. and Warjri, S. (2018). “Study and Analysis of Different Face Recognition Techniques Based on Graphs,” Lecture Notes in Networks and Systems, In Mandal J., Saha G., Kandar D., Maji A. (eds) Proceedings of the International Conference on Computing and Communication Systems, pp. 347-356.

Pavaloiu, A. (2016). “The Impact of Artificial Intelligence on Global Trends,” Journal of Multidisciplinary Developments, 1(1), pp. 32-33.

Phan, W. M. J. and Rounds, J. (2017). “Examining the Duality of Holland’s RIASEC Types: Implications for Measurement and Congruence,” Journal of Vocational Behavior, 106, pp. 22-36.

Pujol, M., Pujol, F.A., Pujol, M.J. and Rizo-Maestre, C. (2020). “Entropy-based Face Recognition and Spoof Detection for Security Applications,” Sustainability, 12, pp. 85.
Stoll, G., Einarsdóttir, S., Song, Q. C., Ondish, P., Sun, J. J. and Rounds, J. (2020). “The Roles of Personality Traits and Vocational Interests in Explaining What People Want Out of Life,” Journal of Research in Personality, 86, 103939.

Tsai, Y.-S. (2019). “Facial Features Integrate with AI Recognition to Facilitate Efficiency of Recruiting,” Unpublished Master’s thesis, National Taiwan University of Science and Technology, Taiwan.

Yu, R. (2019). “A Comparison of Chinese and English Compliments,” Journal of Language Teaching and Research, 10(6), pp. 1257-1262.