Gabber: Supporting Voice in Participatory Qualitative Practices

Jay Rainey, Kyle Montague, Pamela Briggs, Robert Anderson, Thomas Nappey, Patrick Olivier

Research output: Contribution to conferencePaperpeer-review

8 Citations (Scopus)

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.

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems 2019
Abbreviated titleCHI 2019
Country/TerritoryUnited Kingdom
CityGlasgow
Period4/05/199/05/19
Internet address

Keywords

  • Collaborative Sensemaking
  • QDAS
  • Audio annotation

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