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arXiv 2205.09752cs.AIcs.CL

Local dynamic mode of Cognitive Behavioral Therapy

University of Southern California(南加州大学);University of Pennsylvania(宾夕法尼亚大学);University of Washington(华盛顿大学)

Victor Ardulov, Torrey A. Creed, David C. Atkins, Shrikanth Narayanan

英文摘要:

In order to increase mental health equity among the most vulnerable and marginalized communities, it is important to increase access to high-quality therapists. One facet of addressing these needs, is to provide timely feedback to clinicians as they interact with their clients, in a way that is also contextualized to specific clients and interactions they have had. Dynamical systems provide a framework through which to analyze interactions. The present work applies these methods to the domain of automated psychotherapist evaluation for Cognitive Behavioral Therapy (CBT). Our methods extract local dynamic modes from short windows of conversation and learns to correlate the observed dynamics to CBT competence. The results demonstrate the value of this paradigm and outlines the way in which these methods can be used to study and improve therapeutic strategies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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