Psychother Psychosom Med Psychol 2023; 73(02): 89-90
DOI: 10.1055/a-1965-7234
Fragen aus der Forschungspraxis

Automatisierte Analysen von Psychotherapievideos

Was wird erklärt?

Auf Video aufgezeichnete Psychotherapie-Sitzungen können über Fragebogendaten hinausgehende wertvolle Informationen über den*die Patient*in, den*die Therapeut*in und die Dyade als Ganzes enthalten. Therapievideos liefern sowohl Bild- als auch Tonmaterial, das einzeln oder zusammen ausgewertet werden kann und dabei neue Möglichkeiten für die Psychotherapieforschung sowie die praktische Anwendung bietet.



Publication History

Article published online:
06 February 2023

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  • Literatur

  • 1 Paulick J, Deisenhofer A-K, Ramseyer F. et al. Nonverbal synchrony: A new approach to better understand psychotherapeutic processes and drop-out. Journal of Psychotherapy Integration 2018; 28: 367-384
  • 2 Terhürne P, Schwartz B, Baur T. et al. Validation and application of the Non-Verbal Behavior Analyzer: An automated tool to assess non-verbal emotional expressions in psychotherapy. Frontiers in Psychiatry 2022; 13: 1026015
  • 3 Sonnenschein AR, Hofmann SG, Ziegelmayer T. et al. Linguistic analysis of patients with mood and anxiety disorders during cognitive behavioral therapy. Cognitive Behaviour Therapy 2018; 47: 315-327
  • 4 Shapira N, Lazarus G, Goldberg Y. et al. Using computerized text analysis to examine associations between linguistic features and clients’ distress during psychotherapy. Journal of Counseling Psychology 2021; 68: 77-87
  • 5 Nof A, Amir O, Goldstein P. et al. What do these sounds tell us about the therapeutic alliance: Acoustic markers as predictors of alliance. Clinical Psychology & Psychotherapy 2021; 28: 807-817
  • 6 Imel ZE, Barco JS, Brown HJ. et al. The association of therapist empathy and synchrony in vocally encoded arousal. Journal of Counseling Psychology 2014; 61: 146-153
  • 7 Lutz W, Prinz JN, Schwartz B. et al. Patterns of early change in interpersonal problems and their relationship to nonverbal synchrony and multidimensional outcome. Journal of Counseling Psychology 2020; 67: 449-461
  • 8 Schwartz B, Rubel JA, Deisenhofer A-K. et al. Movement-based patient-therapist attunement in psychological therapy and its association with early change. Digital Health 2022; 8
  • 9 Altmann U, Schwartz B, Schönherr D. et al. Therapeuteneffekte bei der ambulanten Behandlung sozialer Ängste. Psychotherapeut 2020; 65: 444-455
  • 10 Cohen K, Ramseyer FT, Tal S. et al. Nonverbal synchrony and the alliance in psychotherapy for major depression: Disentangling state-like and trait-like effects. Clinical Psychological Science 2021; 9: 634-648
  • 11 Ramseyer FT. Exploring the evolution of nonverbal synchrony in psychotherapy: The idiographic perspective provides a different picture. Psychotherapy Research 2020; 30: 622-634
  • 12 Schoenherr D, Paulick J, Worrack S. et al. Quantification of nonverbal synchrony using linear time series analysis methods: Lack of convergent validity and evidence for facets of synchrony. Behavior Research Methods 2019; 51: 361-383
  • 13 Shapira N, Atzil-Slonim D, Tuval-Mashiach R. et al. Measuring linguistic synchrony in psychotherapy. In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. 2022. (S. 158–176). Association for Computer Linguistics
  • 14 Paz A, Rafaeli E, Bar-Kalifa E. et al. Intrapersonal and interpersonal vocal affect dynamics during psychotherapy. Journal of Consulting and Clinical Psychology 2021; 89: 227-239
  • 15 Lutz W, Schwartz B, Delgadillo J. Measurement-based and data-informed psychological therapy. Annual Review of Clinical Psychology 2022; 18: 71-98