کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4937214 1434618 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Effectiveness of self-training using the mobile-based virtual reality program in patients with social anxiety disorder
ترجمه فارسی عنوان
اثربخشی خودآموزی با استفاده از برنامه واقعیت مجازی مبتنی بر تلفن همراه در بیماران مبتلا به اختلال اضطراب اجتماعی
کلمات کلیدی
اضطراب اجتماعی، خود آموزی، واقعیت مجازی، برنامه موبایل درمان در معرض،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Social anxiety is one of the common mental problems with relatively low treatment-seeking rate. Virtual reality exposure therapy is a promising treatment option for social anxiety disorder (SAD). Our objective was to investigate the efficacy of self-training using the newly developed mobile-based virtual reality program for the cost-effective treatment of SAD. Twenty-two patients with SAD and 30 sex- and age-matched normal controls engaged in the program, which consisted of eight self-training sessions during two weeks. Liebowitz Social Anxiety Scale (LSAS) was assessed before and after the training. Additionally, the embedded in-app performance variables were analyzed for objective performance improvements. Although the LSAS scores decreased after the training in both groups, patients showed greater degree of decrease at the marginal significance level than controls (p = 0.053). Overall, there were significant improvements in the total speech length (p < 0.001), voiced-time ratio (p < 0.001), and subjective self-ratings on the performance measured within the program for subjective nervousness (p < 0.001) and for the subjective confidence in content (p = 0.039). The findings provide compelling evidence that the self-training could be beneficial for reducing anxiety and improving skills. The mobile-based virtual reality program for the treatment of SAD may be the first mobile application treatment option that could be operated by the patient alone, at home.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 73, August 2017, Pages 614-619
نویسندگان
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