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

患者和治疗师的非语言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，我们希望把重点放在与情绪比身体动作更密切相关的副语言变量上。据推测，paraborbal特征（基频，语速）与焦虑和治疗的自我评级。此外，治疗结果应与言语时间相关（即，社交焦虑障碍患者与治疗师言语旁特征同步性。此外，将测试这些相关性是否在手动短期认知行为疗法和手动心理动力导向的短期疗法中相似。将基于基频和语速来确定副平均同步。此外，治疗师的领导和起搏措施进行了确定。我们将使用半自动分析，包括手动注释，预处理和使用Praat软件基于转录的参数测定。该项目的继续，包括parabalverbal变量可以增加我们的知识与患者治疗师的互动，治疗过程的结构和相互作用的几个非语言的患者治疗师的互动和治疗结果的基础上非语言的时间多模态分析。

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.