Understanding how adolescents with autism respond to facial expressions in virtual reality environments.
Understanding how adolescents with autism respond to facial expressions in virtual reality environments.
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DOI：
10.1109/tvcg.2013.42
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发表时间：
2013-04
影响因子：
5.2
通讯作者：
Sarkar N
中科院分区：
文献类型：
--
作者：
Bekele E;Zheng Z;Swanson A;Crittendon J;Warren Z;Sarkar N
自闭症谱系障碍（ASD）的特征是非典型的行为模式和社交障碍。ASD人群的基本社会障碍之一是在适当识别和应对面部表情方面的挑战。传统的干预方法通常需要密集的支持和训练有素的治疗师来解决核心缺陷，许多ASD患者由于缺乏训练有素的治疗师以及干预费用而难以获得此类护理。因此，虚拟现实（VR）等新兴技术有可能提供有用的技术支持的干预系统。在本文中，一个创新的基于VR的面部情绪表情呈现系统的开发，允许监视眼睛注视和生理信号相关的情绪识别，探索新的有效的治疗模式。对这个新系统进行了一项可用性研究，涉及10名ASD青少年和10名作为对照组的典型发育青少年。眼动追踪和生理数据进行了分析，以确定组内和组间的凝视和生理模式的变化。性能数据，眼动跟踪指数和生理特征表明，有自闭症的青少年处理和识别情感的面孔相比，他们的典型发展的同龄人的方式存在差异。这些结果将用于在未来的在线自适应VR为基础的多模态社会互动系统，以提高个人的情感识别能力与ASD。
Autism Spectrum Disorders (ASD) are characterized by atypical patterns of behaviors and impairments in social communication. Among the fundamental social impairments in the ASD population are challenges in appropriately recognizing and responding to facial expressions. Traditional intervention approaches often require intensive support and well-trained therapists to address core deficits, with many with ASD having tremendous difficulty accessing such care due to lack of available trained therapists as well as intervention costs. As a result, emerging technology such as virtual reality (VR) has the potential to offer useful technology-enabled intervention systems. In this paper, an innovative VR-based facial emotional expression presentation system was developed that allows monitoring of eye gaze and physiological signals related to emotion identification to explore new efficient therapeutic paradigms. A usability study of this new system involving ten adolescents with ASD and ten typically developing adolescents as a control group was performed. The eye tracking and physiological data were analyzed to determine intragroup and intergroup variations of gaze and physiological patterns. Performance data, eye tracking indices and physiological features indicated that there were differences in the way adolescents with ASD process and recognize emotional faces compared to their typically developing peers. These results will be used in the future for an online adaptive VR-based multimodal social interaction system to improve emotion recognition abilities of individuals with ASD.