Using virtual reality to enhance attention for autistic spectrum disorder with eye tracking

IF 3.2 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Rehma Razzak , Yi (Joy) Li , Jing (Selena) He , Sungchul Jung , Chao Mei , Yan Huang
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引用次数: 0

Abstract

Attention deficit disorder is a frequently observed symptom in individuals with autism spectrum disorder (ASD). This condition can present significant obstacles for those affected, manifesting in challenges such as sustained focus, task completion, and the management of distractions. These issues can impede learning, social interactions, and daily functioning. This complexity of symptoms underscores the need for tailored approaches in both educational and therapeutic settings to support individuals with ASD effectively. In this study, we have expanded upon our initial virtual reality (VR) prototype, originally created for attention therapy, to conduct a detailed statistical analysis. Our objective was to precisely identify and measure any significant differences in attention-related outcomes between sessions and groups. Our study found that heart rate (HR) and electrodermal activity (EDA) were more responsive to attention shifts than temperature. The ‘Noise’ and ‘Score’ strategies significantly affected eye openness, with the ASD group showing more responsiveness. The control group had smaller pupil sizes, and the ASD group’s pupil size increased notably when switching strategies in Session 1. Distraction log data showed that both ‘Noise’ and ‘Object Opacity’ strategies influenced attention patterns, with the ‘Red Vignette’ strategy showing a significant effect only in the ASD group. The responsiveness of HR and EDA to attention shifts and the changes in pupil size could serve as valuable physiological markers to monitor and guide these interventions. These findings further support evidence that VR has positive implications for helping those with ASD, allowing for more tailored personalized interventions with meaningful impact.
利用虚拟现实技术,通过眼动追踪提高自闭症谱系障碍患者的注意力
注意缺陷障碍是自闭症谱系障碍(ASD)患者经常观察到的症状。这种情况会给那些受影响的人带来很大的障碍,表现在持续集中注意力、完成任务和管理分心等挑战上。这些问题会阻碍学习、社会交往和日常功能。这种症状的复杂性强调了在教育和治疗环境中需要量身定制的方法来有效地支持自闭症患者。在这项研究中,我们扩展了最初为注意力治疗而创建的虚拟现实(VR)原型,进行了详细的统计分析。我们的目标是精确地识别和测量不同阶段和不同组之间注意力相关结果的任何显著差异。我们的研究发现,心率(HR)和皮肤电活动(EDA)对注意力转移的反应比温度更敏感。“噪音”和“得分”策略显著影响了眼睛的开放性,ASD组表现出更多的反应。对照组的瞳孔尺寸较小,ASD组的瞳孔尺寸在第1阶段转换策略时显著增加。分心日志数据显示,“噪音”和“不透明对象”策略都影响注意力模式,“红色小场景”策略仅在ASD组中显示出显著效果。HR和EDA对注意力转移和瞳孔大小变化的反应性可以作为监测和指导这些干预措施的有价值的生理指标。这些发现进一步支持了VR对帮助ASD患者具有积极意义的证据,允许更有针对性的个性化干预措施产生有意义的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.70
自引率
0.00%
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