Gabber: Supporting Voice in Participatory Qualitative Practices

Interview data, thematic analysis and notes made during field trials of Gabber.

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We describe the iterative design, development and learning process we undertook to produce Gabber, a digital platform that aims to support distributed capture of spoken interviews and discussions and their qualitative analysis. Our aim is to reduce both cost and expertise barriers associated with existing technologies, making the process more inclusive. Gabber structures distributed audio data capture, facilitates participatory sensemaking, and supports collaborative reuse of audio. We describe our design and development journey across three distinct field trials over a two-year period. Reflecting on the iterative design process, we offer insights into the challenges faced by non-experts throughout their qualitative practices, and provide guidance for researchers designing systems to support engagement in these practices.

本描述详述了我们为构建Gabber这一数字平台所经历的迭代设计、开发与学习过程。该平台旨在支持分布式语音访谈与讨论的捕捉及其定性分析。我们的目标是降低现有技术所关联的成本与专业知识门槛，从而使该过程更具包容性。Gabber构建了分布式音频数据捕捉结构，促进了参与式意义建构，并支持音频的协作性再利用。我们回顾了在两年内进行的三个不同实地试验的设计与开发历程。在反思迭代设计过程的基础上，我们揭示了非专业人士在定性实践中所遭遇的挑战，并为研究人员设计支持参与这些实践的系统提供了指导。