Automated Video Analysis of Non-verbal Communication in a Medical Setting.
Automated Video Analysis of Non-verbal Communication in a Medical Setting.
复制标题
DOI：
10.3389/fpsyg.2016.01130
复制
发表时间：
2016
影响因子：
3.8
通讯作者：
Alon U
中科院分区：
文献类型：
--
作者：
Hart Y;Czerniak E;Karnieli-Miller O;Mayo AE;Ziv A;Biegon A;Citron A;Alon U
非语言交流在医患之间建立良好的关系方面起着重要作用，并可能影响患者健康结果的各个方面。因此，分析医疗环境中的非语言交流是很重要的。目前测量医学中非语言互动的方法采用由人类评分员编码的方法。这些工具是劳动密集型的，因此限制了可能研究的规模。在这里，我们提出了一个自动视频分析工具，用于医疗环境中的非语言互动。我们使用与扮演医生的演员互动的视频来测试这个工具。演员采访的对象执行两个脚本场景之一的采访对象：在一个场景中，演员表现出最小的参与对象。第二种情况包括医生的积极倾听和对主题的关注。我们分析了二人组中两个人总动能的相互关系，并描述了他们运动的频谱。我们发现两种表演场景在人际动作同步性和娱乐方面存在很大差异。主动倾听场景比其他场景表现出更多的同步性和更对称的跟随关系。此外，主动倾听场景显示出更多的高频运动，称为抖动，最近被认为是追随者的标志。目前的方法可能是有用的分析在同步和优势方面的医患互动在一系列医疗设置。
Non-verbal communication plays a significant role in establishing good rapport between physicians and patients and may influence aspects of patient health outcomes. It is therefore important to analyze non-verbal communication in medical settings. Current approaches to measure non-verbal interactions in medicine employ coding by human raters. Such tools are labor intensive and hence limit the scale of possible studies. Here, we present an automated video analysis tool for non-verbal interactions in a medical setting. We test the tool using videos of subjects that interact with an actor portraying a doctor. The actor interviews the subjects performing one of two scripted scenarios of interviewing the subjects: in one scenario the actor showed minimal engagement with the subject. The second scenario included active listening by the doctor and attentiveness to the subject. We analyze the cross correlation in total kinetic energy of the two people in the dyad, and also characterize the frequency spectrum of their motion. We find large differences in interpersonal motion synchrony and entrainment between the two performance scenarios. The active listening scenario shows more synchrony and more symmetric followership than the other scenario. Moreover, the active listening scenario shows more high-frequency motion termed jitter that has been recently suggested to be a marker of followership. The present approach may be useful for analyzing physician-patient interactions in terms of synchrony and dominance in a range of medical settings.