| Yazarlar (1) |
Dr. Öğr. Üyesi Sarper İÇEN
Kırşehir Ahi Evran Üniversitesi, Türkiye |
| Özet |
| Case formulation (CF) is central to personalized mental health care, yet little is known about how artificial intelligence (AI) may simulate theory-informed processes. This exploratory study examined how ChatGPT-4.0 generated CFs for adolescent gaming disorder using cognitive-behavioral and psychodynamic frameworks. Eight standardized fictional vignettes describing demographics, gaming behaviors, psychiatric symptoms, and family context were submitted with prompts requesting framework-specific formulations. Outputs underwent thematic analysis with structured parallel frameworks and reflexive coding. Cognitive-behavioral formulations emphasized schemas, distortions, avoidance, gaming’s psychological functions, and motivational themes, yielding three exploratory subtypes: Avoidant–Anxious, Defiant–Externalizing, and Depression-Driven. Psychodynamic formulations highlighted intrapsychic conflict … |
| Anahtar Kelimeler |
| Adolescent gaming disorder | Artificial intelligence | Case formulation | ChatGPT | Cognitive-behavioral formulation | Psychodynamic formulation |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Psychiatric Quarterly |
| Dergi ISSN | 1573-6709 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SSCI |
| Dergi Grubu | Q2 |
| Makale Dili | İngilizce |
| Basım Tarihi | 10-2025 |
| Sayı | 1 |
| Doi Numarası | 10.1007/s11126-025-10231-w |
| Makale Linki | https://link.springer.com/article/10.1007/s11126-025-10231-w |
| Atıf Sayıları |
