Advanced Intelligence (AI) tools are available to automate the mock interview process. The tool capability can pick up on a range of interview factors from movements to words that can effect hiring potential. Level 1 of the interactive video stream of the mock interview does audio analysis including counting filler words, transcript of the interview, etc. Level 2 is video analysis to see if the student is expressive, engaged, dressed well, etc.  The interviewer bot looks surprised when he talks, measures interviewees moods with precision from enthusiasm to anger.  There is a level 3 option that provides feedback to the student after the video is reviewed by a professional expert.

This study asked the question – Would AI technology be at least equal to a human evaluator of the specific career preparation activities of mock interview practice on the factors of time and quality of real-time feedback. A comparison was done between the AI mock interview and an in-person mock interview using scoring and subjective feedback of the rubric factors contained in the feedback form that matched both methods of interview.

Conclusions were drawn from the data analysis and will be shared in this presentation;

1) Artificial intelligence - is it possible to replace a human being in a decision making process with the same evaluative result?

2) Cognition – is it possible to get a computer to mimic the evaluative decisions in the same manner as a human evaluator?

3) Are there efficiencies of time, quantity and feedback (bias) to the experience of mock interviewing without any loss of quality?