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논문검색

Bio or medical Information Technology (BIT)

Linguistical approach with Automatic MBTI Identification Model based on Measuring Bioelectricity Patterns

초록

영어

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.

목차

Abstract
1. Introduction
2. Related Works
2.1. Myers–Briggs Type Indicator (MBTI )Test
2.2. Questionnaire for Sasang Constitution Classification II (QSCCII)
2.3. Eight Constitution
2.4. Bio-Current
3. The MBTI Identification Model
3.1. Our System Design
3.2. DB Design of the MBTI Identification Model
4. The Eight Constitution’s Identification Algorithm
5. Best Practices for Automatic MBTI Identification Model
5.1. Android version
5.2. Web version
5.3. case study
6. Conclusions
Acknowledgement
References

저자정보

  • Hyun-Tae Kim M.S, Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University, Republic of Korea
  • Ye-Jin Jin M.S, Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University, Republic of Korea
  • Hye-Jin Jeon B.S, Dept. of Software and Communication Engineering, Hongik University, Republic of Korea
  • Janghwan Kim Ph.D. candidate, Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University, Republic of Korea
  • R. Young Chul Kim Professor, Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University, Republic of Korea

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