剖析参与式数据实体化中的权力关系，提出可操作的反思框架。
Disentangling the Power Dynamics in Participatory Data Physicalisation
- 构建跨学科本体论，系统分析23个参与式数据实体化案例
- 提炼出6类参与目标，揭示当前实践中的多元权力取向
- 提供平衡权力的批判性思考方向，适合设计与研究者参考
参与式数据实体化（PDP）通过多方协作将数据转化为具象可视化，有助于支持群体决策。然而，此类过程常受隐性权力结构影响，可能导致剥削性参与、边缘化或排斥等问题。本文基于视觉化与参与式设计的理论整合，构建了一个跨学科本体论，并将其应用于23个代表性PDP作品集。研究揭示了共享决策如何受不同议程驱动，提出三项贡献：1）一套可用于分析现有及新PDP作品与流程的本体论；2）六类反映当前实践核心权力动态的PDP议程，展现参与导向的多样性；3）一系列关键考量建议，包括议题呈现方式、数据语境化、参与者意义表达，以及灵活建构带来的异议空间。研究推动女性主义研究议程，引导研究者与实践者公开反思并分担数据实体化中的责任。
原文摘要 · Abstract (English)
Participatory data physicalisation (PDP) is recognised for its potential to support data-driven decisions among stakeholders who collaboratively construct physical elements into commonly insightful visualisations. Like all participatory processes, PDP is however influenced by underlying power dynamics that might lead to issues regarding extractive participation, marginalisation, or exclusion, among others. We first identified the decisions behind these power dynamics by developing an ontology that synthesises critical theoretical insights from both visualisation and participatory design research, which were then systematically applied unto a representative corpus of 23 PDP artefacts. By revealing how shared decisions are guided by different agendas, this paper presents three contributions: 1) a cross-disciplinary ontology that facilitates the systematic analysis of existing and novel PDP artefacts and processes; which leads to 2) six PDP agendas that reflect the key power dynamics in current PDP practice, revealing the diversity of orientations towards stakeholder participation in PDP practice; and 3) a set of critical considerations that should guide how power dynamics can be balanced, such as by reflecting on how issues are represented, data is contextualised, participants express their meanings, and how participants can dissent with flexible artefact construction. Consequently, this study advances a feminist research agenda by guiding researchers and practitioners in openly reflecting on and sharing responsibilities in data physicalisation and participatory data visualisation.
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