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Automated evaluation of psychotherapy skills using speech and language technologies.使用语音和语言技术自动评估心理治疗技能。
Behav Res Methods. 2022 Apr;54(2):690-711. doi: 10.3758/s13428-021-01623-4. Epub 2021 Aug 3.
2
How do you feel? Using natural language processing to automatically rate emotion in psychotherapy.你感觉如何?使用自然语言处理自动评估心理治疗中的情绪。
Behav Res Methods. 2021 Oct;53(5):2069-2082. doi: 10.3758/s13428-020-01531-z. Epub 2021 Mar 22.
3
ARBEE: Towards Automated Recognition of Bodily Expression of Emotion in the Wild.ARBEE:迈向对自然情境下身体情绪表达的自动识别。
Int J Comput Vis. 2020 Jan;128(1):1-25. doi: 10.1007/s11263-019-01215-y. Epub 2019 Aug 31.
4
Overview of Computer Measures of the Referential Process.参照进程的计算机测量概述。
J Psycholinguist Res. 2021 Feb;50(1):29-49. doi: 10.1007/s10936-021-09761-8. Epub 2021 Jan 19.
5
A scoping review of machine learning in psychotherapy research.机器学习在心理治疗研究中的范围综述。
Psychother Res. 2021 Jan;31(1):92-116. doi: 10.1080/10503307.2020.1808729. Epub 2020 Aug 29.
6
CLME: An R Package for Linear Mixed Effects Models under Inequality Constraints.CLME:一个用于不等式约束下线性混合效应模型的R包。
J Stat Softw. 2016;75. doi: 10.18637/jss.v075.i01. Epub 2016 Nov 19.
7
Can a computer detect interpersonal skills? Using machine learning to scale up the Facilitative Interpersonal Skills task.计算机能否检测人际交往能力?使用机器学习扩展促进人际交往能力任务。
Psychother Res. 2021 Mar;31(3):281-288. doi: 10.1080/10503307.2020.1741047. Epub 2020 Mar 16.
8
Predicting cognitive behavioral therapy outcome in the outpatient sector based on clinical routine data: A machine learning approach.基于临床常规数据预测门诊患者认知行为治疗的疗效:一种机器学习方法。
Behav Res Ther. 2020 Jan;124:103530. doi: 10.1016/j.brat.2019.103530. Epub 2019 Dec 16.
9
Follow you or follow me? Examining therapist responsiveness to client and responsiveness to self, using differential equations model and multilevel data disaggregation from an interpersonal theory framework.跟随你还是跟随我?从人际理论框架的微分方程模型和多层次数据分解角度考察治疗师对来访者和对自身的反应性。
J Couns Psychol. 2020 Oct;67(5):608-621. doi: 10.1037/cou0000406. Epub 2019 Dec 19.
10
Therapist skills associated with client emotional expression in psychodynamic psychotherapy.精神动力心理治疗中与来访者情绪表达相关的治疗师技能。
Psychother Res. 2020 Sep;30(7):900-911. doi: 10.1080/10503307.2019.1680901. Epub 2019 Oct 22.

你永远不知道会得到什么:治疗师支持性咨询技能使用的大规模评估。

You never know what you are going to get: Large-scale assessment of therapists' supportive counseling skill use.

机构信息

Department of Educational Psychology, University of Utah.

Social Research Institute, College of Social Work, University of Utah.

出版信息

Psychotherapy (Chic). 2023 Jun;60(2):149-158. doi: 10.1037/pst0000460. Epub 2022 Oct 27.

DOI:10.1037/pst0000460
PMID:36301302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10133410/
Abstract

Supportive counseling skills like empathy and active listening are critical ingredients of all psychotherapies, but most research relies on client or therapist reports of the treatment process. This study utilized machine-learning models trained to evaluate counseling skills to evaluate supportive skill use in 3,917 session recordings. We analyzed overall skill use and variation in practice patterns using a series of mixed effects models. On average, therapists scored moderately high on observer-rated empathy (i.e., 3.8 out of 5), 3.3% of the therapists' utterances in a session were open questions, and 12.9% of their utterances were reflections. However, there were substantial differences in skill use across therapists as well as across clients within-therapist caseloads. These findings highlight the substantial variability in the process of counseling that clients may experience when they access psychotherapy. We discuss findings in the context of both the need for therapists to be responsive and flexible with their clients, but also potential costs related to the lack of a more uniform experience of care. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

摘要

支持性咨询技巧,如同理心和积极倾听,是所有心理治疗的关键组成部分,但大多数研究依赖于客户或治疗师对治疗过程的报告。本研究利用经过训练来评估咨询技巧的机器学习模型,评估了 3917 次会话记录中的支持性技能使用情况。我们使用一系列混合效应模型分析了整体技能使用情况和实践模式的变化。平均而言,治疗师在观察者评定的同理心方面得分较高(即 5 分制中的 3.8 分),一次会谈中治疗师的话语有 3.3%是开放式问题,有 12.9%是反映。然而,在治疗师之间以及同一治疗师的不同客户之间,技能使用存在很大差异。这些发现突出了客户在接受心理治疗时可能经历的咨询过程的巨大差异。我们在讨论时考虑到了治疗师需要对客户做出反应和灵活处理的必要性,但也考虑到了缺乏更统一的护理体验可能带来的相关成本。(PsycInfo 数据库记录(c)2023 APA,保留所有权利)。