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An Automated Interviewing System (AIS) to support the Human Resource Management

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Author Affiliations

  • 1Faculty of Artificial Intelligence & Mathematical Sciences, Sindh Madressatul Islam University, Karachi, Pakistan
  • 2Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia
  • 3Department of Statistic, University of Karachi, Karachi, Pakistan

Res. J. Computer & IT Sci., Volume 11, Issue (2), Pages 1-5, December,20 (2023)

Abstract

In order to discover candidates who would work well with the current team and stay around for the long run, employment interviews seek out enough information from applicants to assess their technical talents and skills, personalities, and behavioural patterns. Naturally, candidates will represent themselves in the best possible light, making it difficult to get below the surface and find the real issues. Any type of interview can use the following three elements to help interpret a candidate: personality, performance types, and facial micro-expressions. The interviewer can direct the interview questions and learn about the candidate's personality to determine if the applicant's personality will be a good fit for the job and the team. Determine whether the candidate will be satisfied with the position in the long term by looking at the candidate's performance patterns. Verbal and non-verbal communication takes place during the interview.

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