对比真人操控与自主对话系统，发现用户说话方式有明显差异。
Analysis and Detection of Differences in Spoken User Behaviors between Autonomous and Wizard-of-Oz Systems
- 通过语音行为指标对比两种交互模式
- 自主系统下用户语速更快、停顿更少、笑声更多
- 模型可高精度识别交互模式，适合人机交互研究
本研究分析了大规模日语人机交互语料库中用户在注意力倾听和工作面试场景下的口语行为差异，比较了远程操控机器人与自主对话系统的交互表现。结果显示，在语音长度、语速、填充词、回应性话语、不流畅表达及笑声等指标上，操作员控制与自主系统条件存在显著差异。此外，我们构建了预测模型以区分两种系统状态，其准确率与精确率均优于基线模型，多个模型的F1分数也高于基线。结果表明，用户在面对不同系统时表现出可量化的语言行为特征变化。
原文摘要 · Abstract (English)
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.
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