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Autism Spectrum Disorder
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Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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Modeling in Therapy
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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
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Operant Conditioning Intervention
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Operant conditioning serves as a foundational principle in therapeutic interventions aimed at modifying maladaptive behaviors. Central to this approach is the notion that behaviors, both adaptive and maladaptive, are learned through reinforcement. By analyzing the environmental factors that reinforce problematic behaviors, clinicians can design interventions to weaken these reinforcements and replace maladaptive behaviors with healthier alternatives.
In operant conditioning, behaviors that are...
In operant conditioning, behaviors that are...
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探索用于自闭症谱系障碍儿童干预的自适应虚拟现实系统:系统性审查
Luna Maddalon1, Maria Eleonora Minissi1, Thomas Parsons2,3
1Laboratory of Immersive Neurotechnologies, Institute Human-Tech, Universitat Politècnica de València, Valencia, Spain.
Journal of medical Internet research
|September 18, 2024
概括
适应性虚拟现实 (VR) 系统对自闭症谱系障碍 (ASD) 干预有希望. 使用隐性信号的非机器学习技术为患有自闭症的年轻人提供了有效的个性化培训.
科学领域:
- 神经科学是一个神经科学.
- 计算机科学 计算机科学
- 发展心理学 发展心理学
背景情况:
- 适应性系统根据用户的需求和性能来个性化干预.
- 适应性虚拟现实 (VR) 系统提供高效的数据监控和现实世界的学习转移.
- 由于症状异质性和需要定制干预措施,人们对自闭症谱系障碍 (ASD) 的适应性VR越来越感兴趣.
研究的目的:
- 系统地审查适应性VR系统在ASD年轻人的干预措施中的应用.
- 探索不同适应技术和发动机类型在ASD的VR干预中的有效性.
主要方法:
- 在PubMed Central,Scopus和Web of Science进行了系统的搜索,寻找过去十年的研究.
- 纳入标准集中在VR交付,自动化适应,ASD干预/培训,年龄段 (6-19岁),ASD参与者群,以及解释适应策略.
- 提取的数据包括样本特征,目标,训练技能,设备,适应策略,引擎技术和适应信号.
主要成果:
- 包括10篇涉及129名参与者 (76%患有自闭症) 的文章.
- 常见的策略包括级别切换 (70%) 和适应性反 (90%).
- 非机器学习 (ML) 引擎 (80%) 比ML引擎 (30%) 更普遍,使用显式 (60%) 和隐式 (70%) 信号进行适应.
结论:
- 具有实时进展和反的自动化VR系统,特别是使用隐性信号的非ML技术,显示了增强ASD干预的潜力.
- 未来的研究应该解决与数据处理和自动化系统中潜在的人类偏差相关的局限性.


