The Use of Automated Digital Data in Speech, Language, and Hearing Research: Confronting a New Ethical Landscape.

Batya Elbaum, Lynn K Perry, Christina M Sarangoulis, Kenneth W Goodman, Daniel S Messinger, Ivette Cejas
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Abstract

Purpose: The use of automated, digital data collection, such as daylong audio recordings of children's language environments, is yielding important insights for both researchers and practitioners in the field of communication disorders. However, ethical issues involved in the use of digital tools for research purposes have yet to be thoroughly explored.

Method: In this commentary, we draw on our experience with automated data collection in inclusive auditory oral preschool classrooms, as well as interviews with parents, teachers, speech-language pathologists, researchers, and other community members, to identify key areas of ethical concern and draw out implications for future research.

Conclusion: We discuss specific issues and recommendations related to three emerging areas of concern: data storage and data sharing, the return of results to research participants, and the communication of incidental findings.

在语音、语言和听力研究中使用自动化数字数据:面对新的伦理景观。
目的:使用自动化的数字数据收集,如儿童语言环境的全天录音,正在为交流障碍领域的研究人员和从业者提供重要的见解。然而,为研究目的使用数字工具所涉及的伦理问题尚未得到彻底探讨。方法:在这篇评论中,我们借鉴了我们在包容性听觉口语学前课堂中自动收集数据的经验,以及对家长、教师、语言病理学家、研究人员和其他社区成员的采访,以确定伦理关注的关键领域,并为未来的研究提出建议。结论:我们讨论了与三个新兴关注领域相关的具体问题和建议:数据存储和数据共享,结果返回给研究参与者,以及偶然发现的交流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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