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Evaluation of Head Gaze Loosely Synchronized With Real-Time Synthetic Speech for Social Robots

机译:社交机器人实时凝视与实时合成语音松散同步的评估

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This study demonstrates that robots can achieve socially acceptable interactions using loosely synchronized head gaze-speech acts. Prior approaches use tightly synchronized head gaze-speech, which requires significant human effort and time to manually annotate synchronization events in advance, restricts interactive dialog, or requires that the operator acts as a puppeteer. This paper describes how autonomous synchronization of head gaze can be achieved by exploiting affordances in the sentence structure and time delays. A 93-participant user study was conducted in a simulated disaster site. The rescue robot “Survivor Buddy” generated head gaze for a victim management scenario using a 911 dialog. The study used pre- and postinteraction questionnaires to compare the social acceptance level of loosely synchronized head gaze-speech against tightly synchronized head gaze-speech (manual annotation) and no head gaze-speech conditions. The results indicated that for attributes of Self-Assessment Manikin, i.e., Arousal, Robot Likeability, Human-Like Behavior, Understanding Robot Behavior, Gaze-Speech Synchronization, Looking at Objects at Appropriate Times, and Natural Movement, the loosely synchronized head gaze-speech is similar to tightly synchronized head gaze-speech and preferred to the no head gaze-speech case. This study contributes to a fundamental understanding of the role of social head gaze in social acceptance for human–machine interaction, how social gaze can be produced, and promotes practical implementation in social robots.
机译:这项研究表明,机器人可以使用松散同步的凝视语音行为来实现社交上可接受的交互。先前的方法使用紧密同步的头部凝视语音,这需要大量的人力和时间来预先手动注释同步事件,限制交互式对话或要求操作员充当木偶。本文介绍了如何通过利用句子结构和时间延迟中的能力来实现凝视的自主同步。在模拟灾难现场进行了93人参与的用户研究。救援机器人“ Survivor Buddy”使用911对话框针对受害者管理方案生成了目光。该研究使用互动前和互动后的问卷来比较松散同步的头目语音与紧密同步的头目语音(手动注释)和无头目语音条件的社会接受度。结果表明,对于自我评估人体模型的属性,例如,唤醒,机器人的喜欢度,类人行为,理解机器人的行为,注视-语音同步,在适当的时间看物体和自然运动,松散同步的头部凝视语音类似于紧密同步的头部凝视语音,而不是无头部凝视语音的情况。这项研究有助于对人头凝视在人机交互的社会接受中的作用,社会凝视的产生方式以及在社交机器人中的实际实现有一个基本的了解。

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