Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States
Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States
复制标题
评估可检测并适应用户情感状态的口语对话系统
DOI：
10.3115/v1/w14-4324
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Katherine Forbes
中科院分区：
文献类型：
--
作者：
D. Litman;Katherine Forbes
我们提出了一种口语对话系统的评估，该系统能够实时检测并适应用户的脱离和不确定性。我们将这个版本的系统与仅适用于用户脱离的版本进行比较，并与完全忽略用户脱离和不确定性的版本进行比较。当我们将系统的两个影响适应性版本与我们的非适应性基线进行比较时，我们发现任务成功率显著增加，但仅针对男性用户。
We present an evaluation of a spoken dialogue system that detects and adapts to user disengagement and uncertainty in real-time. We compare this version of our system to a version that adapts to only user disengagement, and to a version that ignores user disengagement and uncertainty entirely. We find a significant increase in task success when comparing both affectadaptive versions of our system to our nonadaptive baseline, but only for male users.