Fabla:一种基于语音的生态评估方法,可安全地收集对研究人员问题的口头答案
Deanna M Kaplan1,2, Santiago J Arconada Alvarez3, Roman Palitsky4,5
1Department of Family and Preventive Medicine, Emory University School of Medicine, Atlanta, GA, USA. deanna.m.kaplan@emory.edu.
Behavior research methods
|August 13, 2025
概括
智能手机应用Fabla有效地收集口语响应,比文本输入产生更多数据. 通过Fabla捕获的语音数据显示,与文字数据相比,与抑郁症等心理状态的联系更强烈.
科学领域:
- 数字健康数字健康
- 心理测量 心理测量
- 语音技术 语言技术
背景情况:
- 需要工具来收集纵向的定性数据.
- 需要工具来捕捉自然环境中的语音生物标志物.
- 目前基于文本的数据收集方法的局限性.
研究的目的:
- 验证Fabla,一个智能手机应用程序收集口语反应.
- 评估Fabla的坚持性,可用性和可接受性.
- 将语音与文本输入日记的同时有效性与语言特征和心理相关性进行比较.
主要方法:
- 87名参与者的重复测量实验设计.
- 一周的每日语音日记通过Fabla应用程序.
- 通过Qualtrics进行一周的文本输入日常日记,以平衡的顺序.
主要成果:
- 与文本输入日记相比,语音日记的平均每日语言数量是每日语言数量的两倍多.
- 法布拉获得了高的可用性和可接受性评级.
- 抑郁症的语言标志物显著与通过语音的症状相关,但不是通过文本输入,日记.
结论:
- 在自然环境中收集高质量的语音数据,Fabla是一个有前途的工具.
- Fabla克服了传统文本输入方法的局限性.
- 与文本数据相比,语音数据可能会提高对心理状态的敏感性.
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