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Introduction: When it comes to the non-verbal communication of emotions, it is apparent that the human voice is one of the main ways of expressing emotion and is increasingly important in psychotherapeutic dialog. There is ample research focusing on the vocal expression of emotions. However, to date the analysis of the vocal quality of clients' in-sessional emotional experience remains largely unexplored. Moreover, there is generally a gap within the psychotherapy literature in the understanding of the vocal character of self-compassion, self-criticism, and protective anger. Methods: In this study we investigated how clients vocally convey self-compassion, self-protection and self-criticism in Emotion Focused therapy sessions. For this purpose we investigated 12 commercially available Emotion Focused Therapy videos that employed a two chair or empty chair dialog. Praat software was used for the acoustic analysis of the most common features - pitch (known as fundamental frequency or F0) and intensity (voice amplitude, i.e., loudness). Results: Results showed that intensity was significantly higher for self-criticism and self-protection than for self-compassion. Regarding pitch the findings showed no significant differences between the three states. Discussion: More research analyzing acoustic features in a larger number of cases is required to obtain a deeper understanding of clients' vocal expression of self-compassion, self-protection and self-criticism in Emotion Focused Therapy.
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Clients' facial expressions allow psychotherapists to gather more information about clients' emotional processing. This study aims to examine and investigate the facial Action Units (AUs) of self-compassion, self-criticism, and self-protection within real Emotion-Focused Therapy (EFT) sessions. For this purpose, we used the facial analysis software iMotions. Twelve video sessions were selected for the analysis based on specific criteria. For self-compassion, the following AUs were significant: AUs 4 (brow furrow), 15 (lip corner depressor), and the AU12_smile (lip corner puller). For self-criticism, iMotions identified the AUs 2 (outer brow raise), AU1 (inner brow raise), AU7 (lid tighten), AU12_smirk (unilateral lip corner puller), and AU43 (eye closure). Self-protection was combined using the occurrence of AUs 1 and 4 and AU12_smirk. Moreover, the findings support the significance of discerning self-compassion and self-protection as two different concepts.
Assuntos
Terapia Focada em Emoções , Expressão Facial , Humanos , Autoavaliação (Psicologia) , Autocompaixão , EmoçõesRESUMO
Assertiveness is a social communication skill and is related to the effectiveness of expressing oneself while respecting others. A lack of assertiveness is associated with various mental illnesses; hence the importance of being able to measure it reliably. The aim of the study was to translate the short version of the Scale for Interpersonal Behavior (s-SIB) into Slovak and subsequently test its factor structure and other psychometric properties. Our convenience sample consisted of 590 respondents from Slovakia, 22.71% of whom were men and 77.29% women. The data analysis consisted of a descriptive analysis, reliability analysis, factor structure analysis, Mokken analysis, and percentile norms. The scale showed good psychometric properties. Unlike the 4-factor solution for distress and performance in the original work, our findings showed that the general factor loadings were very good and that the bifactor model had the best fit in both cases (distress and performance). Mokken analysis indicated that the total scores for distress and perfromance and their constituent subscales can be used as proposed. In conclusion, the Slovak version of the s-SIB can be used as to measure the total score for assertiveness as well as the separate factors - Positive Assertion, Negative Assertion, Expression of and Dealing with Personal Limitations, and Initiating Assertiveness.