Pregled bibliografske jedinice broj: 485475
Scenario self-adaptation in virtual reality exposure therapy for posttraumatic stress disorder
Scenario self-adaptation in virtual reality exposure therapy for posttraumatic stress disorder // Novel Approaches to the Diagnosis and Treatment of Posttraumatic Stress Disorder. NATO Security through Science Series - E: Human and Societal Dynamics – Vol. 6 / Roy, Michael J. (ur.).
Amsterdam: IOS Press, 2006. str. 135-147
CROSBI ID: 485475 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Scenario self-adaptation in virtual reality exposure therapy for posttraumatic stress disorder
Autori
Popović, Siniša ; Slamić, Miroslav ; Ćosić, Krešimir
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Novel Approaches to the Diagnosis and Treatment of Posttraumatic Stress Disorder. NATO Security through Science Series - E: Human and Societal Dynamics – Vol. 6
Urednik/ci
Roy, Michael J.
Izdavač
IOS Press
Grad
Amsterdam
Godina
2006
Raspon stranica
135-147
ISBN
1-58603-590-8
Ključne riječi
VR exposure therapy, PTSD, automated adaptation, adaptive control, physiology, SUDs, arousal, anxiety, self-adaptation
Sažetak
Several studies using VR exposure therapy for PTSD have been conducted to date, with promising results. The need for better accuracy of the patient’ s arousal assessment requires aggregation of various measures of arousal, including physiological ones, which may increase mental burden on the therapist. Assessment of the patient’ s arousal automated by the computer may therefore be useful. As the therapist also needs to manipulate user interface to introduce appropriate trigger stimuli in the virtual environment, automated adaptation of VR scenarios in response to the patient’ s level of arousal may alleviate this task. The paper describes architecture of the software that performs mentioned automation according to the rules of graded exposure therapy, and discusses issues for successful implementation of such software.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Kliničke medicinske znanosti