[4R2-OS-19] OS-19

[4R2-OS-19-01] Design and Development of an AI-Assisted System for Addressing Gender-Based Judgments in Job Interviews

Konatsu Ishida¹, Yuri Ishitoya¹, Ichiro Kobayashi¹, 〇Yuki Igarashi¹ (1. Ochanomizu University)

Keywords:Human Computer Interaction, AI System, Interactive System

In recruitment interviews, interviewers sometimes make comments that include gender-based judgments, posing a problem for fair recruitment. In this paper, we propose a system that uses GPT-4o to provide feedback to the interviewer during a Web-based interview when the interviewer makes comments that include gender-based judgments. The system provides feedback to the interviewer when a statement by the interviewer includes a gender-based judgment, highlighting which part of the statement included the gender-based judgment, and a comment from the avatar suggesting how the statement should be reinterpreted. To examine avatar presentation, we conducted three surveys on suitable avatar types and their emotional expressions. Results showed that a human avatar was preferable to an animal avatar. Additionally, when the avatar comments, we found that the emotional expression of anger was not appropriate, but there were individual differences in the expression of persuasive emotions.