Non-Verbal behaviors analysis of healthcare professionals engaged with a Virtual-Patient
Non-Verbal behaviors analysis of healthcare professionals engaged with a Virtual-Patient
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与虚拟患者打交道的医疗保健专业人员的非语言行为分析
DOI：
10.1145/3461615.3485442
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
M. Chetouani
中科院分区：
文献类型：
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作者：
Jean Zagdoun;L. Chaby;Amine Benamara;Marìa;M. Chetouani
虚拟患者（VP）目前被开发用于培训多个领域的医疗保健专业人员。在本文中，我们专门探讨非语言行为的医疗保健专业人员从事互动与副总裁，显示神经退行性疾病。主要的动机是促进医疗保健专业人员的培训，重点是非语言行为，这是众所周知的病人和照顾者的互动中发挥重要作用。我们提出了虚拟语料库，这是一个视频语料库的29个专业护理人员与VP互动。基于文献和探索性研究，我们开发了一个架构，能够感知一系列非语言信号，然后将其转换为离散符号。然后，利用基于N-gram的方法来建模，分析和比较医疗保健专业策略。特别是，我们报告分析的工作经验的背景下，我们集群的参与者，以了解我们的语料库中存在的不同模式的行为。
Virtual-Patients (VP) are currently developed to train healthcare professionals in several domains. In this paper, we specifically explore non-verbal behaviors of healthcare professionals engaged in an interaction with a VP that displays a neurodegenerative disease. The main motivation is to contribute to the training of healthcare professionals with a focus on non-verbal behaviors, which are known to play an important role in patient- caregivers interaction. Our paper presents the VirtuAlZ corpus which is a video corpus of 29 professional caregivers interacting with a VP. Based on the literature and exploratory studies, we developed an architecture able to perceive a list of non-verbal signals, which are then transformed in discrete symbols. An N-gram based approach is then exploited to model, analyze and compare healthcare professional strategies. In particular, we report analysis on the work experience context and we cluster the participants in order to understand the different patterns of behavior present in our corpus.