Local Standards for Anonymization Practices in Health, Wellness, Accessibility, and Aging Research at CHI

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Pub Date : 2019-05-02 DOI:10.1145/3290605.3300692

Jacob Abbott, H. MacLeod, Novia Nurain, Gustave Ekobe, S. Patil

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引用次数: 23

Abstract

When studying technologies pertaining to health, wellness, accessibility, and aging, researchers are often required to perform a balancing act between controlling and sharing sensitive data of the people in their studies and protecting the privacy of these participants. If the data can be anonymized and shared, it can boost the impact of the research by facilitating replication and extension. Despite anonymization, data reporting and sharing may lead to re-identification of participants, which can be particularly problematic when the research deals with sensitive topics, such as health. We analyzed 509 CHI papers in the domains of health, wellness, accessibility, and aging to examine data reporting and sharing practices. Our analysis revealed notable patterns and trends regarding the reporting of age, gender, participant types, sample sizes, methodology, ethical considerations, anonymization techniques, and data sharing. Based on our findings, we propose several suggestions for community standards and practices that could facilitate data reporting and sharing while limiting the privacy risks for study participants.

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在CHI的健康、健康、可达性和老化研究中的匿名化实践的地方标准

在研究与健康、健康、可访问性和老龄化相关的技术时，研究人员通常需要在控制和共享研究对象的敏感数据与保护这些参与者的隐私之间取得平衡。如果数据可以匿名化和共享，它可以通过促进复制和扩展来提高研究的影响。尽管匿名化，数据报告和共享可能会导致参与者的重新识别，当研究涉及敏感话题(如健康)时，这可能会特别有问题。我们分析了健康、健康、可访问性和老龄化领域的509篇CHI论文，以检查数据报告和共享实践。我们的分析揭示了关于年龄、性别、参与者类型、样本量、方法、伦理考虑、匿名化技术和数据共享的显著模式和趋势。基于我们的发现，我们提出了一些关于社区标准和实践的建议，这些标准和实践可以促进数据报告和共享，同时限制研究参与者的隐私风险。

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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Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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