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Analysis of engagement behavior in children during dyadic interactions using prosodic cues

机译:使用韵律线索分析儿童在二元互动中的参与行为

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摘要

Child engagement is defined as the interaction of a child with his/her environment in a contextually appropriate manner. Engagement behavior in children is linked to socio-emotional and cognitive state assessment with enhanced engagement identified with improved skills. A vast majority of studies however rely solely, and often implicitly, on subjective perceptual measures of engagement. Access to automatic quantification could assist researchers/clinicians to objectively interpret engagement with respect to a target behavior or condition, and furthermore inform mechanisms for improving engagement in various settings. In this paper, we present an engagement prediction system based exclusively on vocal cues observed during structured interaction between a child and a psychologist involving several tasks. Specifically, we derive prosodic cues that capture engagement levels across the various tasks. Our experiments suggest that a child’s engagement is reflected not only in the vocalizations, but also in the speech of the interacting psychologist. Moreover, we show that prosodic cues are informative of the engagement phenomena not only as characterized over the entire task (i.e., global cues), but also in short term patterns (i.e., local cues). We perform a classification experiment assigning the engagement of a child into three discrete levels achieving an unweighted average recall of 55.8% (chance is 33.3%). While the systems using global cues and local level cues are each statistically significant in predicting engagement, we obtain the best results after fusing these two components. We perform further analysis of the cues at local and global levels to achieve insights linking specific prosodic patterns to the engagement phenomenon. We observe that while the performance of our model varies with task setting and interacting psychologist, there exist universal prosodic patterns reflective of engagement.
机译:儿童参与度被定义为儿童以上下文相关方式与环境互动的方式。儿童的参与行为与社交情绪和认知状态评估相关联,并通过提高技能来提高参与度。但是,绝大多数研究仅(通常是暗含地)依赖于主观的感知参与度。获得自动量化信息可以帮助研究人员/临床医生客观地解释与目标行为或条件有关的参与,并进一步为改善各种环境下的参与提供信息。在本文中,我们提出了一个互动预测系统,该系统仅基于在儿童和心理学家之间涉及多个任务的结构化交互过程中观察到的声音提示。具体来说,我们会得出韵律提示,以捕获跨各种任务的参与程度。我们的实验表明,孩子的参与不仅体现在发声中,而且还体现在互动的心理学家的讲话中。而且,我们表明,韵律提示不仅在整个任务(即全局提示)中具有特征,而且在短期模式(即局部提示)中都可以提供参与现象的信息。我们执行分类实验,将孩子的参与度划分为三个离散级别,以实现55.8%的未加权平均召回率(机会为33.3%)。尽管使用全局提示和局部级别提示的系统在预测参与度方面均具有统计学意义,但在将这两个组件融合后,我们可以获得最佳结果。我们在本地和全球范围内对线索进行进一步分析,以获取将特定韵律模式与参与现象联系起来的见解。我们观察到,虽然我们模型的性能随任务设置和心理学家的互动而变化,但存在反映参与度的普遍韵律模式。

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