增强对自闭症谱系障碍的关注:使用生理数据的基于虚拟现实的训练计划的比较分析

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Frontiers in Computer Science Pub Date : 2023-09-28 DOI:10.3389/fcomp.2023.1250652
Bhavya Sri Sanku, Yi (Joy) Li, Sungchul Jung, Chao Mei, Jing (Selena) He
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引用次数: 0

摘要

保持注意力的能力对于在生活的各个方面取得成功至关重要,包括学术追求、职业发展和社会交往。注意缺陷障碍(ADD)是一种与自闭症谱系障碍(ASD)相关的常见症状,它会给受其影响的个体带来挑战,影响他们的社交和学习能力。为了解决这个问题,虚拟现实(VR)已经成为一种有前途的注意力训练工具,能够创建个性化的虚拟世界,为注意力集中的干预提供了有利的平台。此外,利用生理数据可以帮助发展和提高个人的注意力训练技术。方法在我们的初步研究中,开发了一个注意力治疗系统的功能原型。在当前阶段,目标是创建一个名为VR-PDA(虚拟现实生理数据分析)的框架,利用生理数据来跟踪和提高个人的注意力。在这个框架中实现了四种不同的训练策略,如噪声、分数、对象不透明度和红色小插曲。主要目标是利用虚拟现实技术和生理数据分析来提高注意力能力。结果我们的数据分析结果显示,强化训练策略对改善自闭症个体的注意力至关重要,而对非自闭症个体则没有显著作用。在所有被采用的策略中,噪音策略在训练ASD个体注意力方面表现出卓越的效果。另一方面,对于非asd个体,没有特定的训练被证明能有效地提高注意力。总的凝视时间特征对有和没有ASD的参与者都有好处。结果一致表明,两组的结果都是有利的,表明注意力水平提高了。这些发现为不同注意力训练策略的有效性提供了有价值的见解,并强调了虚拟现实(VR)和生理数据在自闭症患者注意力训练计划中的潜力。这项研究的结果为进一步的研究开辟了新的途径,并激发了未来的发展。
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Enhancing attention in autism spectrum disorder: comparative analysis of virtual reality-based training programs using physiological data
Background The ability to maintain attention is crucial for achieving success in various aspects of life, including academic pursuits, career advancement, and social interactions. Attention deficit disorder (ADD) is a common symptom associated with autism spectrum disorder (ASD), which can pose challenges for individuals affected by it, impacting their social interactions and learning abilities. To address this issue, virtual reality (VR) has emerged as a promising tool for attention training with the ability to create personalized virtual worlds, providing a conducive platform for attention-focused interventions. Furthermore, leveraging physiological data can be instrumental in the development and enhancement of attention-training techniques for individuals. Methods In our preliminary study, a functional prototype for attention therapy systems was developed. In the current phase, the objective is to create a framework called VR-PDA (Virtual Reality Physiological Data Analysis) that utilizes physiological data for tracking and improving attention in individuals. Four distinct training strategies such as noise, score, object opacity, and red vignette are implemented in this framework. The primary goal is to leverage virtual reality technology and physiological data analysis to enhance attentional capabilities. Results Our data analysis results revealed that reinforcement training strategies are crucial for improving attention in individuals with ASD, while they are not significant for non-autistic individuals. Among all the different strategies employed, the noise strategy demonstrates superior efficacy in training attention among individuals with ASD. On the other hand, for Non-ASD individuals, no specific training proves to be effective in enhancing attention. The total gazing time feature exhibited benefits for participants with and without ASD. Discussion The results consistently demonstrated favorable outcomes for both groups, indicating an enhanced level of attentiveness. These findings provide valuable insights into the effectiveness of different strategies for attention training and emphasize the potential of virtual reality (VR) and physiological data in attention training programs for individuals with ASD. The results of this study open up new avenues for further research and inspire future developments.
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来源期刊
Frontiers in Computer Science
Frontiers in Computer Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.30
自引率
0.00%
发文量
152
审稿时长
13 weeks
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