在语音,语言和听力研究中使用自动化数字数据:面对一个新的道德格局
Batya Elbaum1, Lynn K Perry2, Christina M Sarangoulis3
1Department of Teaching and Learning, University of Miami, Coral Gables, FL.
概括
自动化数据收集为沟通障碍研究提供了宝贵的见解. 本研究探讨了诸如数据共享和对负责任的数字工具使用的偶然发现等伦理问题.
科学领域:
- 语音和语言病理学 语言病理学
- 沟通障碍 研究 研究 研究
- 数字卫生技术数字卫生技术
背景情况:
- 自动化,数字数据收集方法,包括全天的音频录音,越来越多地用于研究儿童的语言环境.
- 这些技术为沟通障碍的研究人员和从业人员提供了重要的见解.
- 然而,在研究中使用数字工具的伦理含义需要进行彻底审查.
研究的目的:
- 识别和讨论在沟通障碍研究中自动数据收集所产生的关键道德问题.
- 为应对在研究中使用数字工具时面临的伦理挑战提供建议.
- 为未来的研究实践提供有关数据管理和参与者沟通的信息.
主要方法:
- 借鉴在包容性听觉口语学前班的自动化数据收集的实践经验.
- 采访各种利益相关者,包括家长,教师,语音语言病理学家,研究人员和社区成员.
- 通过实际应用和利益相关者的视角来分析伦理问题.
主要成果:
- 确定了与数据存储和共享实践相关的关键伦理问题.
- 强调了将研究结果返回给参与者的复杂性和伦理考虑.
- 解决了与传达偶然发现相关的挑战和伦理责任.
结论:
- 强调需要积极的道德框架来指导在通信障碍研究中使用自动化数据收集.
- 建议针对数据治理,参与者参与和发现透明沟通的具体策略.
- 强调解决伦理问题的重要性,以确保负责任的创新,并保持公众对研究的信任.
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