Participatory Data Design: Managing Data Sovereignty in IoT Solutions

IF 1 4区 计算机科学 Q3 COMPUTER SCIENCE, CYBERNETICS
Judy Bowen;Annika Hinze
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引用次数: 3

Abstract

Within the software engineering community, deciding how to collect, store and use personal data has become about more than just understanding our users. This paper considers ethical data use that includes cultural considerations and data ownership rights. We discuss indigenous data sovereignty as a concept and how it potentially impacts technological solutions that gather personal data from users. We propose an extension to typical user-centred design processes, which we call participatory data design. This incorporates the use of frameworks and tools that specifically focus on managing data within the cultural context it is gathered from. We also present a specific example of how we have used this approach in the context of a data collection project from Māori workers in New Zealand forestry. We conclude with a discussion of the wider implications of this approach.
参与式数据设计:物联网解决方案中的数据主权管理
在软件工程社区中,决定如何收集、存储和使用个人数据已经不仅仅是了解我们的用户。本文考虑了道德数据使用,包括文化因素和数据所有权。我们讨论了土著数据主权这一概念,以及它如何潜在地影响从用户那里收集个人数据的技术解决方案。我们建议对典型的以用户为中心的设计过程进行扩展,我们称之为参与式数据设计。这包括使用专门侧重于在数据收集的文化背景下管理数据的框架和工具。我们还举了一个具体的例子,说明我们如何在新西兰林业的毛利人工人的数据收集项目中使用这种方法。最后,我们讨论了这种做法的更广泛影响。
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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来源期刊
Interacting with Computers
Interacting with Computers 工程技术-计算机:控制论
CiteScore
2.70
自引率
0.00%
发文量
12
审稿时长
>12 weeks
期刊介绍: Interacting with Computers: The Interdisciplinary Journal of Human-Computer Interaction, is an official publication of BCS, The Chartered Institute for IT and the Interaction Specialist Group . Interacting with Computers (IwC) was launched in 1987 by interaction to provide access to the results of research in the field of Human-Computer Interaction (HCI) - an increasingly crucial discipline within the Computer, Information, and Design Sciences. Now one of the most highly rated journals in the field, IwC has a strong and growing Impact Factor, and a high ranking and excellent indices (h-index, SNIP, SJR).
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