Gabber: supporting voice in participatory qualitative practices

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

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    6 Citations (Scopus)


    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.

    Original languageEnglish
    Title of host publicationProceedings of the 2019 CHI Conference on Human Factors in Computing Systems
    EditorsAnna Cox, Vassilis Kostakos
    Place of PublicationNew York NY USA
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages12
    ISBN (Electronic)9781450359702
    Publication statusPublished - 2019
    EventInternational Conference on Human Factors in Computing Systems 2019 - Glasgow, United Kingdom
    Duration: 4 May 20199 May 2019
    Conference number: 37th (Proceedings)


    ConferenceInternational Conference on Human Factors in Computing Systems 2019
    Abbreviated titleCHI 2019
    Country/TerritoryUnited Kingdom
    Internet address


    • Audio annotation
    • Collaborative sensemaking
    • QDAS

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