Publications by authors named "Nicolina Peperkorn"
While the potential of Artificial Intelligence (AI)-particularly Natural Language Processing (NLP) models-for detecting symptoms of depression from text has been vastly researched, only a few studies examine such potential for the detection of social anxiety symptoms. We investigated the ability of the large language model (LLM) GPT-4 to correctly infer social anxiety symptom strength from transcripts obtained from semi-structured interviews. N = 51 adult participants were recruited from a convenience sample of the German population.
View Article and Find Full Text PDFArticle Synopsis
- This study explored how fear of cluster headache attacks affects disability related to pain, using the "fear avoidance model" (FAM) as its theoretical basis.
- A survey of 640 patients found that both fear of attacks and the frequency of attacks significantly predicted pain-related disability, with fear being a more influential factor than attack frequency.
- The research highlights the importance of psychological factors in managing cluster headache disabilities and suggests that focusing on fear in treatment could lead to better interventions.