非语言行为对抑郁的跨文化检测。

Sharifa Alghowinem, Roland Goecke, Jeffrey F Cohn, Michael Wagner, Gordon Parker, Michael Breakspear
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引用次数: 65

摘要

全世界有数百万人患有抑郁症。他们的非语言行为是否存在共性,使得跨文化筛查和严重程度评估可行?我们利用来自澳大利亚、美国和德国的临床访谈录像,研究了一种检测跨文化抑郁症严重程度的方法的普遍性。在访谈类型、抑郁亚型和纳入健康对照者、文化背景和记录环境等方面,材料存在差异。分析的重点是参与者眼睛注视和头部姿势的时间特征。评估了数据集内部和数据集之间的几种训练和测试方法。在所有数据集的训练和使用留一个主体的交叉验证的数据集测试中发现了最强的结果。相比之下,当只在三个数据集中的一个或两个上进行训练并对未用于训练的数据集的主题进行测试时,泛化性会减弱。这些发现强调了使用训练数据显示预期变异性范围的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Cross-Cultural Detection of Depression from Nonverbal Behaviour.

Millions of people worldwide suffer from depression. Do commonalities exist in their nonverbal behavior that would enable cross-culturally viable screening and assessment of severity? We investigated the generalisability of an approach to detect depression severity cross-culturally using video-recorded clinical interviews from Australia, the USA and Germany. The material varied in type of interview, subtypes of depression and inclusion healthy control subjects, cultural background, and recording environment. The analysis focussed on temporal features of participants' eye gaze and head pose. Several approaches to training and testing within and between datasets were evaluated. The strongest results were found for training across all datasets and testing across datasets using leave-one-subject-out cross-validation. In contrast, generalisability was attenuated when training on only one or two of the three datasets and testing on subjects from the dataset(s) not used in training. These findings highlight the importance of using training data exhibiting the expected range of variability.

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