Building a Motivational Interviewing Dataset
Building a Motivational Interviewing Dataset
复制标题
构建动机访谈数据集
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Lawrence C. An
中科院分区：
文献类型：
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作者：
Verónica Pérez;Rada Mihalcea;K. Resnicow;Satinder Singh;Lawrence C. An
本文提供了一个新的心理数据集，包括辅导员的行为在动机访谈遭遇。使用动机性访谈完整性处理（MITI）进行注释。我们描述了与依赖于行为编码的数据集的构建相关的方面，如数据采集，转录，专家数据注释和可靠性评估。该数据集包含从277个动机访谈会话中提取的总共22，719个辅导员话语，这些会话用10个辅导员行为代码进行注释。可靠性分析表明，注释者在会话水平上取得了很好的一致性，组内相关系数（ICC）得分在0.75至1的范围内，在话语水平上达到了良好的一致性，科恩的Kappa得分在0.31至0.64之间。行为干预是解决公共卫生问题的一种有前途的方法，例如戒烟、增加身体活动和减少药物滥用等（Resnicow et al.，2002年）。特别地，动机访谈（MI），一种以客户为中心的心理治疗方式，由于其治疗成瘾和其他行为的既定功效，已经受到临床心理学界越来越多的关注（Moyers等人，2009;阿波达卡等人，2014;巴内特等人，2014; Catley等人，2012年）。尽管它在打击成瘾和提供更广泛的疾病预防和管理方面具有潜在的好处，但在更大规模或其他领域实施MI咨询受到基于人类的评估需求的限制。目前，这需要人类观看或收听录像带，然后提供评估反馈。最近，已经提出了计算方法来辅助MI评估过程（阿特金斯等人，2014年; Xiao等人，2014; Klonek等人，2015年）的报告。然而，这项任务的学习资源并不容易获得。拥有这些资源将使应用数据驱动的策略，咨询行为的自动编码，从而为研究人员提供自动化的手段，评估MI。此外，这也可以是有用的，以探索如何MI的工作原理，将MI行为的健康结果，并提供咨询师与评估反馈，帮助他们提高他们的MI技能。在本文中，我们提出了一个数据集的建设和验证注释与辅导员的言语行为使用动机面试治疗完整性4.0（MITI），这是目前的黄金标准MI为基础的心理干预。该数据集来自277个MI会话，总共包含22，719个编码话语。1动机访谈米勒和Rollnick将MI定义为一种合作的、目标导向的心理治疗风格，特别关注改变的语言（米勒和Rollnick，2013）。MI已被广泛用作心理治疗研究的临床试验中的治疗方法，以解决酒精，烟草和药物使用等成瘾行为;促进营养和健身等健康习惯;并帮助客户
This paper contributes a novel psychological dataset consisting of counselors’ behaviors during Motivational Interviewing encounters. Annotations were conducted using the Motivational Interviewing Integrity Treatment (MITI). We describe relevant aspects associated with the construction of a dataset that relies on behavioral coding such as data acquisition, transcription, expert data annotations, and reliability assessments. The dataset contains a total of 22,719 counselor utterances extracted from 277 motivational interviewing sessions that are annotated with 10 counselor behavioral codes. The reliability analysis showed that annotators achieved excellent agreement at session level, with Intraclass Correlation Coefficient (ICC) scores in the range of 0.75 to 1, and fair to good agreement at utterance level, with Cohen’s Kappa scores ranging from 0.31 to 0.64. Behavioral interventions are a promising approach to address public health issues such as smoking cessation, increasing physical activity, and reducing substance abuse, among others (Resnicow et al., 2002). In particular, Motivational Interviewing (MI), a client centered psychotherapy style, has been receiving increasing attention from the clinical psychology community due to its established efficacy for treating addiction and other behaviors (Moyers et al., 2009; Apodaca et al., 2014; Barnett et al., 2014; Catley et al., 2012). Despite its potential benefits in combating addiction and in providing broader disease prevention and management, implementing MI counseling at larger scale or in other domains is limited by the need for human-based evaluations. Currently, this requires a human either watching or listening to video-tapes and then providing evaluative feedback. Recently, computational approaches have been proposed to aid the MI evaluation process (Atkins et al., 2014; Xiao et al., 2014; Klonek et al., 2015). However, learning resources for this task are not readily available. Having such resources will enable the application of data-driven strategies for the automatic coding of counseling behaviors, thus providing researchers with automatic means for the evaluation of MI. Moreover, this can also be useful to explore how MI works by relating MI behaviors to health outcomes, and to provide counselors with evaluative feedback that helps them improve their MI skills. In this paper, we present the construction and validation of a dataset annotated with counselor verbal behaviours using the Motivational Interviewing Treatment Integrity 4.0 (MITI), which is the current gold standard for MI-based psychology interventions. The dataset is derived from 277 MI sessions containing a total of 22,719 coded utterances. 1 Motivational Interviewing Miller and Rollnick define MI as a collaborative, goal-oriented style of psychotherapy with particular attention to the language of change (Miller and Rollnick, 2013). MI has been widely used as a treatment method in clinical trials on psychotherapy research to address addictive behaviors such as alcohol, tobacco and drug use; promote healthier habits such as nutrition and fitness; and help clients with
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