自律対話システムとウィザード・オブ・オズ方式におけるユーザ発話行動の差異分析と検出
Analysis and Detection of Differences in Spoken User Behaviors between Autonomous and Wizard-of-Oz Systems
日本語の人間-ロボット対話コーパスを用い、遠隔操作ロボットと自律対話システムでユーザの発話行動(発話長・話速・フィラー・相槌など)に差があるかを分析し、両条件を識別する予測モデルを構築した研究。
著者: Mikey Elmers, Koji Inoue, Divesh Lala, Keiko Ochi, Tatsuya Kawahara
分類: cs.CL, cs.HC, cs.RO
原文アブストラクト
This study examined users' behavioral differences in a large corpus of Japanese human-robot interactions, comparing interactions between a tele-operated robot and an autonomous dialogue system. We analyzed user spoken behaviors in both attentive listening and job interview dialogue scenarios. Results revealed significant differences in metrics such as speech length, speaking rate, fillers, backchannels, disfluencies, and laughter between operator-controlled and autonomous conditions. Furthermore, we developed predictive models to distinguish between operator and autonomous system conditions. Our models demonstrated higher accuracy and precision compared to the baseline model, with several models also achieving a higher F1 score than the baseline.
