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Design and Implementation of Computer Engineering Technical Interview Support System

컴퓨터 공학 기술 면접 지원 시스템의 설계 및 구현

  • Dong-Hyun Lee ;
  • Seung-Min Park ;
  • Dong-Hyun Kim (Dept. of Software, Dongseo University)
  • 이동현 (동서대학교 소프트웨어학과) ;
  • 박승민 (동서대학교 소프트웨어학과) ;
  • 김동현 (동서대학교 소프트웨어학과)
  • Received : 2024.04.30
  • Accepted : 2024.06.12
  • Published : 2024.06.30

Abstract

Recently, the frequency of computer engineering and technology interviews has increased in the process of hiring developers, and accordingly, the burden of technical interviews among interviewees has also increased. However, during computer engineering technical interview practice, it is difficult to judge whether one's answers are correct, and to measure the appropriate vocalization speed by oneself. In this paper, we propose a computer engineering technical interview support system using similarity measurement technology. The proposed system measures the technical accuracy of the interviewee's answers through a sentence similarity evaluation procedure using cosine similarity to measure the technical accuracy of the interviewee's answers. It also measures the speech rate and provides it to the interviewee.

최근 개발자 채용 과정에서 컴퓨터 공학 기술 면접을 진행하는 빈도가 증가하였고 그에 따라 면접자의 기술 면접 부담도 함께 증가하였다. 그러나 컴퓨터 공학 기술 면접 연습 과정에서 본인의 답변이 정확한 답변인지 판단하기 어렵고, 적절한 발성 속도를 스스로 측정하기 어려운 문제가 있다. 이 논문에서는 유사도 측정 기술을 이용한 컴퓨터 공학 기술 면접 지원 시스템을 제시한다. 제시된 시스템은 면접자의 답변을 코사인 유사도를 사용해 문장 유사도 평가 절차를 거쳐 면접자가 대답한 답변의 기술적 정확도를 측정한다. 또한 발성 속도를 측정하여 면접자에게 제공한다.

Keywords

Acknowledgement

이 논문은 2023년도 동서대학교 "Dongseo Cluster Project" 지원에 의하여 이루어진 것임.(DSU-20230005)

References

  1. Programmers, "2023 Programmers Developer Survey Report," Grep1), Dec. 2022. 
  2. Y. Jeong, J. Ham, H. Lee, J. Kim, J. Jin, J. Yang, S. Lee, and M. Lee, "Rehearsal: Designing Systems for AI Interviews," Proc. of HCI Korea, Korea, Jan. 2021, pp. 556-558. 
  3. K. Yoon, "Cyber Interview System using Stereoscopic Images," J. of the Korea Society of Computer and Information, vol. 16, no. 4, Apr. 2011, pp. 197-204. 
  4. Y. Kim, "Case Study of AI Interview System Experience," Culture and Convergence, vol. 45, no. 11, Nov. 2023, pp. 283-294. 
  5. H. Ji, S. Lee, S. Mun, J. Lee, D. Lee, and K Lim, "Multifaceted Evaluation Methodology for AI Interview Candidates - Integration of Facial Recognition, Voice Analysis, and Natural Language Processing," Proc. of the Korean Society of Computer Information Conference, vol. 32, no. 1, Jan. 2024, pp. 55-58. 
  6. H. Kim and J. Lee, "Sentiment Analysis Using Mixed Feature Vector combined with the Sentiment DictionaryQ. Chuan, H. Zhu, C. Zhu, T. Xu, F. Zhuang, C. Ma, J. Zhang, and H. Xiong, "DuerQuiz: A personalized question recommender system for intelligent job interview," Proc. of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, July 2019, pp. 2165-2173. 
  7. W. Cynthia, T. Gandell, J. Beauchamp, L. Mcalpine, C. Wiseman, and C. Beauchamp, "Analyzing interview data: The development and evolution of a coding system," Qualitative Sociology, vol. 24, no. 3, Oct. 2001, pp. 381-400. 
  8. B. Lee and B. Kim, "Development of an AI-based interview system for remote hiring," International J. of Advanced Research in Engineering and Technology, vol. 12. issue 3, Mar. 2021, pp. 654-663. 
  9. J. Siswanto, S. Suakanto, M. Andriani, M. Hardiyanti and T. F. Kusumasari, "Interview bot development with natural language processing and machine learning," International J. of Technology, vol. 13, no. 2, July 2022, pp. 274-285. 
  10. J. Lee, "Comparison of RNN and Transformer-based Models for Sentiment Classification of Korean Reviews," J. of the Korea Institute of Electronic Communication Sciences, vol. 18, no. 4, Aug. 2023, pp. 693-700. 
  11. H. Duan and Y. Lee, "Entity Matching Method Using Semantic Similarity and Graph Convolutional Network Techniques," J. of the Korea Institute of Electronic Communication Sciences, vol. 17, no. 5, Oct. 2022, pp. 801-808. 
  12. B. Kim, "Words Recommendation Algoristhm for Similarity Connection based on Data Transmutability," J. of the Korea Institute of Electronic Communication Sciences, vol. 8, no. 11, Nov. 2013, pp. 1719-1724.