EEG기반의 AI채용시스템을 활용한 면접자들의 진실성 탐구
Exploring the Sincerity of Applicants Using EEG-based AI Recruitment Syste
2
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
채용에서는 업무의 효율성을 높인다는 이유로 AI채용시스템을 활용하는 기업들이 증가하고 있다. 본 연구는 AI채용 시스템을 활용한 면접에서 면접자들의 진실성을 파악하기 위해 EEG기반의 생체학적 실험 연구를 설계하였다. 임의의 상황을 가정한 상황해결능력을 묻는 개방형 질문 10문항을 제시하여 인터뷰 하면서 면접자들로부터 EEG 신호를 수집하여 답변의 진실성에 대해 탐구하였다. 실험결과는 진실과 거짓말의 진위여부에 대한 CNN 모델의 정확도가 성능에서 조금 더 나은 결과를 보여 주었다.
Abstract
An increasing number of companies are using AI recruitment system for the purpose of improved work efficiency. This study was designed to conduct an EEG-based biological experiment to explore the sincerity of applicants who were interviewed using an AI recruitment system. By asking interviewees with 10 questions of situation-solving ability assuming a random trouble-solving situation, EEG signals were collected from the interviewees during the interview and their sincerity was explored. As a result of the experiment, the accuracy of the CNN model showed slightly better results for truthfulnrss assessment
참고문헌 (15)
- Geetha, R, "Recruitment through artificial intelligence: a conceptual study", Internation al Journal of Mechanical Engineering and Technology, 9(7), pp.63~70 (2018)
- Nawaz, N, "Artificial intelligence is transforming recr uitment effectiveness in CMMI level companies", Int ernational Journal of Advanced Trends in Computer Science and Engineering, 8(6) (2019)
- Wright, J, "The impact of artificial intelli gence within the recruitment industry: Defining a new way of recruiting", pp.1~39 (2019), Carmichael Fisher
- Vedapradha, R, "Artific ial intelligence: A technological prototype in recruit ment", Journal of Service Science and Management, 12(03), pp.382~ (2019)
- Uma. G, N, "Rama Krishna: Artificial intelligence: A Conceptual Study", International Journal of Mechanical Engineering and Technology (IJM ET), 8(7), pp.63~70 (2019)
- Allal-Chérif, O, "Intell igent recruitment: How to identify, select, and retai n talents from around the world using artificial intel ligence", Technological Forecasting and Social Change, 169, pp.120822~ (2020)
- Ibrahim, W. M. R. W, "Recruitment tren ds in the era of industry 4.0 using artificial intelligen ce: pro and cons", Asian Journal of Research in Busin ess and Management, 1(1), pp.16~21 (2019)
- Oswal, N, "Recruitment in the Era of Industry 4.0: use of Artificial Intelligence in Recruitment and its impact", PalArch's Journal of Archa eology of Egypt, 2020, pp.17(8), 39~47
- 손귀영, "EEG 신호 기반의 특징벡터 형성 및 감정인식을 위한 기계학습", 한국차세대컴퓨팅학회 논문지, 16(2), pp.72~79 (2020), 한국차세대컴퓨팅학회
- Soleimani, M, "Cognitive biases in developing biased Artificial Intelligence recruitment system" (2021)
- Dwivedi, Y. K, "Artificial Intelligence (AI): Multidisciplinary perspectives on e merging challenges, opportunities, and agenda for research, practice and policy", International Journal of Information Management, 57, pp.101994~ (2021)
- Madelyn Sanfilippo: AI Now 2017Report, "Alex Campolo", ~ (2017)
- 이현주, "뇌파를 활용한 사용자의 감정 분류 알고리즘", 한국통신학회논문지C, 39(2), pp.122~129 (2014), 한국통신학회
- Bablani, A, "Deceit identific ation test on EEG data using deep belief network", 2018 9th International Conference on Computing, Communication and Networking Technologies IEEE, pp.1~6 (2018)
- "Matlab"[URL]
