Simultaneous Job Interview System Using Multiple Semi-autonomous Agents
Haruki Kawai, Yusuke Muraki, Kenta Yamamoto, Divesh Lala, Koji Inoue, Tatsuya Kawahara
Abstract
In recent years, spoken dialogue systems have been applied to 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 the multiple autonomous job interview dialogue systems. However, it is challenging for interviewers to monitor and understand all the parallel interviews done by the autonomous system at the same time. As a solution to this issue, we implemented two automatic dialogue understanding functions: (1) response evaluation of each applicant’s responses and (2) keyword extraction as a summary of the responses. It is expected that interviewers, as needed, can intervene in one dialogue and smoothly ask a proper question that elaborates the interview. We report a pilot experiment where an interviewer conducted simultaneous job interviews with three candidates.- Anthology ID:
- 2022.sigdial-1.12
- Volume:
- Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Month:
- September
- Year:
- 2022
- Address:
- Edinburgh, UK
- Editors:
- Oliver Lemon, Dilek Hakkani-Tur, Junyi Jessy Li, Arash Ashrafzadeh, Daniel Hernández Garcia, Malihe Alikhani, David Vandyke, Ondřej Dušek
- Venue:
- SIGDIAL
- SIG:
- SIGDIAL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 107–110
- Language:
- URL:
- https://aclanthology.org/2022.sigdial-1.12
- DOI:
- 10.18653/v1/2022.sigdial-1.12
- Cite (ACL):
- Haruki Kawai, Yusuke Muraki, Kenta Yamamoto, Divesh Lala, Koji Inoue, and Tatsuya Kawahara. 2022. Simultaneous Job Interview System Using Multiple Semi-autonomous Agents. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 107–110, Edinburgh, UK. Association for Computational Linguistics.
- Cite (Informal):
- Simultaneous Job Interview System Using Multiple Semi-autonomous Agents (Kawai et al., SIGDIAL 2022)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2022.sigdial-1.12.pdf