Timing of nonverbal patient-therapist interactions and treatment outcome in patients with social phobia

患者和治疗师非言语行为的时机似乎与治疗结果有关。在DFG资助的项目中，我们发现了一些迹象，表明高水平的运动同步性和治疗成功之间存在正相关。在未来，我们希望关注与情绪的关系可能比身体运动更密切的副椎体变量。假设副耳廓特征(基本频率、语速)与焦虑和治疗的自我评级有关。此外，治疗结果应与社交焦虑症患者的枕骨旁时机(即患者和治疗师的枕骨旁特征的同步性)相关。此外，还将测试在男性化的短期认知行为疗法和男性化的精神动力导向的短期疗法中，这些相关性是否相似。准同步将根据基本频率和语速来确定。此外，还确定了治疗师引导和调步的措施。我们将使用半自动分析，包括使用PRAAT软件进行人工注释、预处理和基于文字记录的参数确定。该项目的继续包括副椎体变量可以增加我们关于患者-治疗师-互动的知识，治疗过程的结构，以及基于对非语言计时的多模式分析的几个非语言互动和治疗结果的相互作用。

The timing of nonverbal behavior of patient and therapist seems to be associated with therapy outcome. Within the project funded by the DFG, we found some indications for a positive association between a high level of movement synchrony and therapy success. In the future, we want to focus paraverbal variables which might be more closely related to emotions than body movements. It is assumed that paraverbal characteristics (fundamental frequency, speech rate) are associated with self-ratings of anxiety and treatment. In addition, treatment outcome should be correlated with paraverbal timing (i.e., synchrony of paraverbal characteristics of patient and therapists) among patients with social anxiety disorder. Moreover, it will be tested if these correlations are similar within a manulized short term cognitive behavioral therapy and a manulized psychodynamic oriented short-term therapy. Paraverbal synchrony will be determined based upon the fundamental frequency and speech rate. Additionally, measures of therapist leading and pacing are identified. We will use a semi-automatic analysis consisting of manual annotation, pre-processing and transcript-based determination of the parameters using the software Praat. The continuation of the project including paraverbal variables could increase our knowledge related to patient-therapist-interactions, the structure of treatment processes and the interplay of several nonverbal patient-therapist interactions and treatment outcome based upon a multimodal analysis of nonverbal timing.