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参与:用于识别自闭症谱系障碍儿童参与的多维数据集
Won Kim1, Minwoo Seong1, Kyung-Joong Kim1
1Gwangju Institute of Science and Technology, School of Integrated Technology, Gwangju, 61005, South Korea.
Scientific data
|March 16, 2024
概括
这项研究介绍了Engagnition,这是一个新的数据集,用于识别自闭症谱系障碍 (ASD) 儿童使用严游戏的参与. 这种方法旨在改善ASD儿童的参与和发展.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 人与计算机的交互
背景情况:
- 参与对于患有自闭症谱系障碍 (ASD) 的儿童的认知和运动发展至关重要.
- 目前用于ASD的参与识别方法面临挑战,原因是数据稀缺,参与者访问有限,以及高实施成本.
- 引人入胜的技术,包括交互式和多感官刺激,看起来很有前途,但实际上有局限性.
研究的目的:
- 引入Engagnition,这是一个新的数据集,用于识别ASD儿童的参与.
- 利用严的游戏作为收集ASD儿童参与数据的实用工具.
- 促进ASD儿童更好的参与和发展支持.
主要方法:
- 使用一个严的游戏"击败怪物"开发订婚数据集.
- 在游戏过程中收集了57名患有自闭症儿童的生理和行为反应.
- 在数据集中,专家对参与和干预状态的注释.
主要成果:
- 数据集包括来自ASD儿童的注释生理和行为数据.
- 技术验证包括报告任务和干预分配.
- 提供了对生理信号的信号噪声比率的分析.
结论:
- 严的游戏提供了一个可行的解决方案,以克服在收集与ASD儿童的参与数据的局限性.
- 参与数据集为开发和验证参与识别系统提供了宝贵的资源.
- 这项工作支持为患有自闭症儿童推进技术驱动的干预措施.
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