International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Linguistical approach with Automatic MBTI Identification Model based on Measuring Bioelectricity Patterns

  • Hyun-Tae Kim (Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University) ;
  • Ye-Jin Jin (Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University) ;
  • Hye-Jin Jeon (Dept. of Software and Communication Engineering, Hongik University) ;
  • Janghwan Kim (Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University) ;
  • R. Young Chul Kim (Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University)
  • Received : 2023.08.16
  • Accepted : 2023.09.06
  • Published : 2023.09.30
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Abstract

Until now, it is popular to use question-and-answer-based for human personality. The current inspection of representative personality types includes Myers-Briggs Type Indicator (MBTI) and job suitability evaluations. The problem of these inspection methods is influenced by the user's environment and psychological status during MBTI inspection. To solve this problem, we proposed MBTI Identification Model based on measuring bioelectricity patterns. We adapt traditional Korean medicine, the Eight Constitution, to this model. We develop an automatic MBTI identification algorithm that maps the Eight Constitution via biological current patterns to identify MBTI personality types. By utilizing the algorithm proposed in this research, it is anticipated that users will be able to measure MBTI more easily and accurately.

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Acknowledgement

This research was supported by Korea Creative Content Agency(KOCCA) grant funded by the Ministry of Culture, Sports and Tourism(MCST) in 2023(Project Name: Development of AI-based user interactive multi-modal interactive storytelling 3D scene authoring technology, Project Number: RS-2023-00227917, Contribution Rate: 50%) and Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education in 2023(Project Name: The Faultless Codinglization through Automatic Refactoring based on NLP BERT Model, Project Number: 2021R1I1A3050407, Contribution Rate: 50%)

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