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Gabber: Supporting Voice in Participatory Qualitative Practices

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Published:02 May 2019Publication History

ABSTRACT

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 expertise and cost 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.

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      cover image ACM Conferences
      CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
      May 2019
      9077 pages
      ISBN:9781450359702
      DOI:10.1145/3290605

      Copyright © 2019 ACM

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      • Published: 2 May 2019

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