Simultaneous Job Interview System Using Multiple Semi-autonomous Agents
Haruki Kawai, Y. Muraki, Kenta Yamamoto, Divesh Lala, Koji Inoue, Tatsuya Kawahara · 2022
In recent years, spoken dialogue systems have been used in job interviews where an applicant talks to a system that asks pre-defined questions, called on-demand and self-paced job interviews.We propose a simultaneous job interview system, where one interviewer can conduct one-on-one interviews with multiple applicants simultaneously by cooperating with multiple autonomous interview dialogue systems.However, it is challenging for interviewers to monitor and understand all parallel interviews done by the autonomous system simultaneously.To address this issue, we implement two automatic dialogue understanding functions: (1) response evaluation of each applicant's responses and (2) keyword extraction for a summary of the responses.In this system, interviewers can intervene in a dialogue session when needed and smoothly ask a proper question that elaborates the interview.We have conducted a pilot experiment where an interviewer conducted simultaneous job interviews with three candidates.