STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
AI Technology Promotes Innovative Application Research of Simulated Interview Platform
DOI: https://doi.org/10.62517/jike.202404124
Author(s)
Ruizi Sun, Yiran Sun, Yuqing Kong, Xiangyi Wang, Liya He, Chunyu Liu, Jianing Gao*
Affiliation(s)
School of Accounting, Shandong Youth University of Political Science, Jinan, Shandong, China
Abstract
With the number of college graduates increasing year by year, the employment situation is becoming more and more severe. Whether it is for college or employment, the interview is used as a criterion for talent selection. Through investigation and literature research, the team found that fresh graduates lacked relevant interview experience, and the interview training market developed slowly. At present, AI technology is mature, AI+ education is well-known by the public, policy support is strong, and development prospects are good, AI technology can promote the development of the interview training market to a certain extent. Therefore, in view of the large number of interview demand groups and the immature market situation of simulated interview products, the form of the simulated interview platform is innovated through the design of anthropomorphic AI interviewers, the creation of interesting and challenging sections, and the multidimensional evaluation of the interview process by AI, so as to help users improve interview skills, enrich interview experience and improve interview ability.
Keywords
Interview Training; Online Mock Interview; AI Technology; Form Innovation; Multidimensional Evaluation
References
[1]Li Wencan. The current situation and path of college graduates' employment. China's transition from military to civilian. 2023 (11) : 79-80 [2]Sun Shan, Xu Xinyi. 83.4% respondents expect more support in interview. China Youth Daily, 2022-05-26 (010). [3]Wang Shuyi. Research on Application and governance of intelligent methods in Job hunting and recruitment Field under the background of digital transformation. East China Normal University, 2023. [4]Sun Yingchen. Research on Efficient Recruitment and Accurate Interview in Enterprise Human Resource Management. Investment and Entrepreneurship, 2019, 3:164-165. [5]Si Qiannan. Design and Implementation of Simulated Interview System based on Deep Learning. Beijing: Beijing Jiaotong University, 2022, 202:3-4. [6]Meng Qingjiao. The pros and cons of zero-contact Interview. Human Resources, 2020(09):70-72. [7]Wang Xiaodi. Research on the influence of AI interviewer design Characteristics on Interactive fairness perception. Dalian University of Technology, 2022. [8]CAI Jingru, Zhang Meng. Analysis of Job applicants' resistance to AI Interviewers. Cooperative Economics and Technology, 2024,(04):94-96. [9]You Lijiang. Impact analysis of artificial intelligence Chatbots and Countermeasures and suggestions: A case study of ChatGPT. Network security Technology and application, 2023, (12):128-130. [10]GUO Yongchao, Chen Liangyu, LI Zihan, Li Jia. The practical application of the teaching concept of "Learning by Playing" in Garment CAD Course. Western Leather, 2023, 45 (18): 36-38. [11]Yang Mei, Lv Zhenhua, Chen Weiwei. Design of Job Interview Management System based on Artificial Intelligence. Microcomputer Applications, 2021, 37(07): 100-103.
Copyright @ 2020-2035 STEMM Institute Press All Rights Reserved