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Beschreibung: As technology continues to advance, the field of psychotherapy is presented with both new opportunities and challenges. One emerging technological development is deepfake technology, which utilizes artificial intelligence to create hyper-realistic manipulated audiovisual content. This bachelor thesis will review the intersection of deepfake technology and psychotherapy, aiming to explore the ethical considerations and potential efficacy of integrating deepfake-generated scenarios into therapeutic practices.
Kontakt: Marte Roel Lesur, E-Mail
Beschreibung: Memories play a central role in post-traumatic stress disorder (PTSD). PTSD is considered a memory disorder. When people suffering from PTSD talk about their traumatic memories, the memories are characterised by features that distinguish them from non-traumatic memories. So much so that freely recounted traumatic memories are sufficient to identify individuals with PTSD. Language markers such as descriptions of derealisation, increased use of verbs of perception, repetition, changes in prosody and conversational flow are commonly described. As predictive markers of the course and severity of PTSD, they have hardly been used yet; in the field of classification, some work has already been done. The aim of this paper is to provide an overview of which features have been studied so far and what can be predicted on their basis.
Kleim, B., Horn, A. B., Kraehenmann, R., Mehl, M. R., & Ehlers, A. (2018). Early linguistic markers of trauma-specific processing predict post-trauma adjustment. Frontiers in Psychiatry, 9. https://doi.org/10.3389/fpsyt.2018.00645
Schultebraucks K, Yadav V,Shalev AY, Bonanno GA, Galatzer-Levy IR(2022). Deep learning-based classification ofposttraumatic stress disorder and depressionfollowing trauma utilizing visual and auditorymarkers of arousal and mood.PsychologicalMedicine52, 957?967. https://doi.org/10.1017/S0033291720002718
Example article for a review in the field of linguistic markers: Stephanie Homan and colleagues (2022) on Linguistic features in the prediction of suicidal thoughts and behaviour. https://pubmed.ncbi.nlm.nih.gov/35636131/
Kontakt: Valerie Hofmann, E-Mail
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