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The SRI BioFrustration Corpus: Audio, Video, and Physiological Signals for Continuous User Modeling

机译:SRI BiofStration语料库:用于连续用户建模的音频,视频和生理信号

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We describe the SRI BioFrustration Corpus, an in-progress corpus of time-aligned audio, video, and autonomic nervous system signals recorded while users interact with a dialog system to make returns of faulty consumer items. The corpus offers two important advantages for the study of turn-taking under emotion. First, it contains state-of-the-art ECG, skin conductance, blood pressure, and respiration signals, along with multiple audio channels and video channels. Second, the collection paradigm is carefully controlled. Though the users believe they are interacting with an empathetic system, in reality the system afflicts each subject with an identical history of "frustration inducers." This approach enables detailed within- and across-speaker comparisons of the effect of physiological state on user behavior. Continuous signal recording enables studying the effect of frustration inducers with respect to speech-based system-directed turns, inter-turn regions, and system text-to-speech responses.
机译:我们描述了SRI BiofStration语料库,在用户与对话系统交互以恢复错误的消费物品时记录的时对齐音频,视频和自主神经系统信号的正在进行的音频,视频和自主神经系统信号。 Corpus为在情绪上的转向采取的研究提供了两个重要的优势。首先,它包含最先进的ECG,皮肤电导,血压和呼吸信号以及多个音频通道和视频通道。其次,收集范式被仔细控制。虽然用户相信他们与一个同情系统进行交互,但实际上,系统会折磨每个主题,具有相同的“挫折诱导者”的历史。这种方法能够详细地在和讲话者中进行详细的生理状态对用户行为的影响。连续信号记录能够研究令人沮丧的诱导者关于基于语音的系统的转向,转弯区域和系统文本到语音响应的影响。

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