Design of a Virtual Reality System for Affect Analysis in Facial Expressions (VR-SAAFE); Application to Schizophrenia.

Design of a Virtual Reality System for Affect Analysis in Facial Expressions (VR-SAAFE); Application to Schizophrenia.
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DOI:
10.1109/tnsre.2016.2591556
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发表时间:
2017-06
期刊:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
影响因子:
--
通讯作者:
Sarkar N
Sarkar N
中科院分区:
其他
文献类型:
--
作者:
Bekele E;Bian D;Peterman J;Park S;Sarkar N

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精神分裂症是一种终生的、使人衰弱的精神障碍,影响约1%的人口,预后不良。虽然药物治疗可以减轻一些急性精神病症状,残留的社会功能障碍是一个重大的障碍,阻止成功的康复。由于资源和获得社会技能培训的机会有限,创新技术已成为一种潜在的强有力的干预工具。在本文中,我们提出了一种新的虚拟现实(YR)为基础的系统,了解面部情绪处理障碍,可能会导致精神分裂症的社会结果不佳。因此,我们称之为面部表情情感分析YR系统(YR-SAAFE)。该系统集成了一个基于YR的任务呈现平台,可以精确地控制化身的面部表情,有或没有伴随的口头互动,与眼动跟踪器定量测量参与者的实时凝视和一组生理传感器,以推断他/她的情感状态,允许深入了解精神分裂症患者的情绪识别机制的基础上定量指标。12名精神分裂症患者和12名健康对照者进行了一项可用性研究,以检查情绪面孔的加工。初步结果表明,有显着差异的方式与精神分裂症患者的处理和回应的情绪面孔在YR环境中与健康对照组相比。初步结果强调了这种基于YR的系统的实用性,该系统能够精确和定量地评估精神分裂症患者的社会技能缺陷。
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 (YR)-based system for understanding facial emotion processing impairments that may lead to poor social outcome in schizophrenia. We henceforth call it a YR System for Affect Analysis in Facial Expressions (YR-SAAFE). This system integrates a YR-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 YR environment compared with healthy control participants. The preliminary results underscore the utility of such a YR-based system that enables precise and quantitative assessment of social skill deficits in patients with schizophrenia.