一项基于移动应用程序的自闭症护理,诊断和干预调查,重点关注可用性和软件设计
Xiongyi Liu1, Wenbing Zhao2, Quan Qi3
1Department of Curriculum and Foundations, Cleveland State University, Cleveland, OH 44115, USA.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
移动应用程序为自闭症护理,诊断和干预提供了宝贵的工具. 本次审查对应用进行了分类,并确定了用户群,重点关注可用性和设计,以提供有效的自闭症支持.
科学领域:
- 数字健康数字健康
- 自闭症谱系障碍研究研究
- 人与计算机的交互
背景情况:
- 移动应用程序在医疗保健中越来越多地使用,包括自闭症谱系障碍 (ASD) 的干预措施.
- 需要进行系统审查,以了解这些应用程序的设计,可用性和理论基础.
研究的目的:
- 系统地审查自闭症护理,诊断和干预的移动应用程序.
- 调查用户的好处,应用的目的,可用性机制,设计准则和理论框架.
- 在ASD的背景下提出移动应用及其用户的分类.
主要方法:
- 对自闭症移动应用程序的研究进行系统审查.
- 分析以五个研究问题为指导,重点关注用户,目的,可用性,设计和理论基础.
- 基于发现的移动应用分类学的开发.
主要成果:
- 移动应用程序分为支持,教育,培训,家长和数据收集类型.
- 用户包括自闭症患者,教师,家长,临床医生和研究人员.
- 游戏化,虚拟现实,以用户为中心的设计,AAC,视频建模和行为改变实践提高了应用程序的可用性和干预效率.
结论:
- 移动应用程序代表了一个多样化和不断发展的工具集,用于支持患有自闭症的人.
- 了解应用程序设计,可用性和理论基础对于开发有效的数字干预至关重要.
- 拟议的分类学有助于对应用程序进行分类,并识别针对ASD量身定制的目标用户.
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