Privacy in Participatory Research: Advancing Policy to support Human Computation
Privacy in Participatory Research: Advancing Policy to support Human Computation
复制标题
参与式研究中的隐私：推进支持人类计算的政策
DOI：
10.15346/hc.v2i1.3
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
A. Wiggins
中科院分区：
文献类型：
--
作者：
A. Bowser;A. Wiggins
公民科学和参与式感知是人类计算的两种模型，其中参与者隐私是一个关键问题。技术保障很重要，但只是部分解决方案；还必须提供解释隐私实践的政策的完整而准确的描述，以便志愿者能够就参与做出明智的决定。我们的研究调查了 30 个参与性研究项目的政策，以确定如何提出隐私相关政策，以及它们如何与实际做法保持一致。本文对这些项目中明显的政策中与隐私相关的要素进行了描述。我们发现，虽然大多数项目表现出对政策需求的一定了解，但许多项目的政策不完整或描述不准确。我们讨论了对项目管理、设计、研究或运营政策的影响，无论是对于自归类为公民科学或参与式感知的项目，还是对于更大的人类计算领域。最后，我们提出了一套参与式研究设计的道德实践作为指导方针，为支持参与式研究的政策制定和技术设计提供信息。
Citizen science and participatory sensing are two models of human computation in which participant privacy is a key concern. Technological safeguards are important but partial solutions; a full and accurate description of policies explaining privacy practices must also be present so volunteers can make informed decisions regarding participation. Our study surveyed the policies of 30 participatory research projects to establish how privacy-related policies were presented, and how they aligned with actual practices. This paper contributes a description of the privacy-related elements of policies evident in these projects. We found that while the majority of projects demonstrated some understanding of the need for policies, many hosted incomplete policies or inaccurately described practices. We discuss the implications for project management, design, and research or operational policy, both for projects that self-categorize as citizen science or participatory sensing, and for the larger field of human computation. We conclude by proposing a set of Ethical Practices for Participatory Research Design as guidelines to inform the development of policies and the design of technologies supporting participatory research.
影响因子：
12.7
作者：
Cacari-Stone, Lisa;Wallerstein, Nina;Minkler, Meredith
通讯作者：
Minkler, Meredith