Design of a Virtual Reality System for Affect Analysis in Facial Expressions (VR-SAAFE); application to schizophrenia
| Autor: | Nilanjan Sarkar, Sohee Park, Joel S. Peterman, Esubalew Bekele, Dayi Bian |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Adult
Male Psychotherapist Schizophrenia (object-oriented programming) Population Biomedical Engineering Virtual reality Affect (psychology) Sensitivity and Specificity Article 03 medical and health sciences User-Computer Interface 0302 clinical medicine Social skills Internal Medicine Humans Diagnosis Computer-Assisted Set (psychology) education Facial expression education.field_of_study business.industry General Neuroscience Rehabilitation Reproducibility of Results Usability Middle Aged 030227 psychiatry Facial Expression Affect Schizophrenia Female Schizophrenic Psychology business Psychology 030217 neurology & neurosurgery Photic Stimulation Cognitive psychology |
| Popis: | Schizophrenia is a life-long, debilitating psychotic disorder with poor outcome that affects about 1% of the population. Although pharmacotherapy can alleviate some of the acute psychotic symptoms, residual social impairments present a significant barrier that prevents successful rehabilitation. With limited resources and access to social skills training opportunities, innovative technology has emerged as a potentially powerful tool for intervention. In this paper, we present a novel virtual reality (VR)-based system for understanding facial emotion processing impairments that may lead to poor social outcome in schizophrenia. We henceforth call it a VR System for Affect Analysis in Facial Expressions (VR-SAAFE). This system integrates a VR-based task presentation platform that can minutely control facial expressions of an avatar with or without accompanying verbal interaction, with an eye-tracker to quantitatively measure a participants real-time gaze and a set of physiological sensors to infer his/her affective states to allow in-depth understanding of the emotion recognition mechanism of patients with schizophrenia based on quantitative metrics. A usability study with 12 patients with schizophrenia and 12 healthy controls was conducted to examine processing of the emotional faces. Preliminary results indicated that there were significant differences in the way patients with schizophrenia processed and responded towards the emotional faces presented in the VR environment compared with healthy control participants. The preliminary results underscore the utility of such a VR-based system that enables precise and quantitative assessment of social skill deficits in patients with schizophrenia. |
| Databáze: | OpenAIRE |
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