Predicting Counselor Behaviors in Motivational Interviewing Encounters
Predicting Counselor Behaviors in Motivational Interviewing Encounters
复制标题
预测励志访谈中辅导员的行为
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
D. Catley
中科院分区：
文献类型：
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作者：
Satinder Singh;Rada Mihalcea;Verónica Pérez;K. Resnicow;Lawrence C. An;K. Goggin;D. Catley
随着接受心理治疗的人数增加，咨询实践的自动评估成为临床领域的一个重要挑战。在本文中，我们通过分析咨询师与客户互动时的语言来自动评估咨询绩效。特别是，我们提出了一个动机访谈（MI）编码自动化的模型，这是当前评估 MI 咨询的黄金标准。首先，我们建立一个手工标记 MI 遭遇的数据集；其次，我们使用基于文本的方法来提取和分析与咨询师行为相关的语言模式；第三，我们开发了一个自动系统来预测这些行为。我们引入了一组基于语义信息和句法模式的新特征，并表明它们的准确率高达 90%，这代表着相对于过去使用的特征的显着改进。
As the number of people receiving psycho-therapeutic treatment increases, the automatic evaluation of counseling practice arises as an important challenge in the clinical domain. In this paper, we address the automatic evaluation of counseling performance by analyzing counselors’ language during their interaction with clients. In particular, we present a model towards the automation of Motivational Interviewing (MI) coding, which is the current gold standard to evaluate MI counseling. First, we build a dataset of hand labeled MI encounters; second, we use text-based methods to extract and analyze linguistic patterns associated with counselor behaviors; and third, we develop an automatic system to predict these behaviors. We introduce a new set of features based on semantic information and syntactic patterns, and show that they lead to accuracy figures of up to 90%, which represent a significant improvement with respect to features used in the past.
改进使用动机面试技能代码可靠评估动机面试保真度的方法。
影响因子：
3.9
作者：
Lord,SarahPeregrine;Can,Doğan;Yi,Michael;Marin,Rebeca;Dunn,ChristopherW;Imel,ZacE;Georgiou,Panayiotis;Narayanan,Shrikanth;Steyvers,Mark;Atkins,DavidC
通讯作者：
Atkins,DavidC