Department of Linguistics, University of California, 1203 Dwinelle Hall, Berkeley, CA, 94720, USA.
Boston Children's Hospital and Massachusetts Institute of Technology, Boston, MA, USA.
Behav Res Methods. 2020 Oct;52(5):1951-1969. doi: 10.3758/s13428-020-01365-9.
Recent advances in large-scale data storage and processing offer unprecedented opportunities for behavioral scientists to collect and analyze naturalistic data, including from underrepresented groups. Audio data, particularly real-world audio recordings, are of particular interest to behavioral scientists because they provide high-fidelity access to subtle aspects of daily life and social interactions. However, these methodological advances pose novel risks to research participants and communities. In this article, we outline the benefits and challenges associated with collecting, analyzing, and sharing multi-hour audio recording data. Guided by the principles of autonomy, privacy, beneficence, and justice, we propose a set of ethical guidelines for the use of longform audio recordings in behavioral research. This article is also accompanied by an Open Science Framework Ethics Repository that includes informed consent resources such as frequent participant concerns and sample consent forms.
近年来，大规模数据存储和处理方面的进展为行为科学家提供了前所未有的机会，可以收集和分析自然主义数据，包括来自代表性不足群体的数据。音频数据，特别是真实世界的录音，特别引起行为科学家的兴趣，因为它们可以高保真地访问日常生活和社交互动的微妙方面。然而，这些方法上的进步给研究参与者和社区带来了新的风险。在本文中，我们概述了收集、分析和共享数小时音频记录数据相关的好处和挑战。我们遵循自主性、隐私、惠益和正义原则，提出了一套在行为研究中使用长篇音频记录的伦理准则。本文还附有一个开放科学框架伦理资源库，其中包括知情同意资源，例如常见的参与者关注问题和示例同意书。
