在自闭症研究中使用语言环境分析:系统性审查
Orla C Putnam1, Jennifer E Markfeld2, Sarah Towner Wright1
1The University of North Carolina at Chapel Hill, USA.
Autism : the international journal of research and practice
|November 5, 2024
概括
语言环境分析 (LENA) 系统为自闭症研究提供了生态有效性,但在语音识别和语音上下文方面存在局限性. 本综述总结了LENA的情况.
科学领域:
- 发展心理学 发展心理学
- 临床心理学 临床心理学
- 语音语言病理学 语音语言病理学
背景情况:
- 对于自闭症儿童来说,传统的语言评估通常依赖于结构化,基于实验室的任务.
- 越来越需要在自然环境中评估语言,以捕捉真实的沟通能力.
- 自闭症儿童的语言技能在不同的环境中可能会有很大差异.
研究的目的:
- 系统地审查语言环境分析 (LENA) 系统在自闭症研究中的应用.
- 根据研究自闭症的研究人员的报告,确定和总结LENA的优点和局限性.
- 为优化LENA在未来自闭症研究和临床实践中的使用提供建议.
主要方法:
- 进行了系统的数据库搜索,以确定使用LENA系统与自闭症儿童的研究.
- 综述包括了42项相关研究,分析了各种年龄,环境和分析方法.
- 审查综合了关于LENA的应用,优势,局限性和遵守指南的调查结果.
主要成果:
- 在自闭症研究中,LENA被用于各种年龄,环境和分析方法,主要用于探索性目的.
- 确定的优势包括生态有效性,成本效益和快速的临床反.
- 发现的局限性是与人类编码器相比,语音识别准确度较低,以及关于语音上下文和发育细微差别的数据有限.
结论:
- 在自闭症研究中,LENA系统越来越多地被使用,为自然语言环境提供了有价值的见解.
- 研究人员和临床医生应该意识到LENA的局限性,特别是在扬声器识别和语境语音信息方面.
- 本综述提供了基于证据的建议,以提高LENA在自闭症研究和临床环境中的有效和准确应用.
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