Gabber: supporting voice in participatory qualitative practices

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

doi:10.1145/3290605.3300607

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 proceeding › Conference Paper › Research › peer-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.

Original language	English
Title of host publication	Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Editors	Anna Cox, Vassilis Kostakos
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Number of pages	12
ISBN (Electronic)	9781450359702
DOIs	https://doi.org/10.1145/3290605.3300607
Publication status	Published - 2019
Event	International Conference on Human Factors in Computing Systems 2019 - Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 Conference number: 37th https://chi2019.acm.org (Website) https://dl.acm.org/doi/proceedings/10.1145/3290605 (Proceedings)

Conference

Conference	International Conference on Human Factors in Computing Systems 2019
Abbreviated title	CHI 2019
Country/Territory	United Kingdom
City	Glasgow
Period	4/05/19 → 9/05/19
Internet address	https://chi2019.acm.org (Website) https://dl.acm.org/doi/proceedings/10.1145/3290605 (Proceedings)

Keywords

Audio annotation
Collaborative sensemaking
QDAS

Access to Document

10.1145/3290605.3300607

Cite this

@inproceedings{ef8cfdd7c1664072b312873aa5819516,

title = "Gabber: supporting voice in participatory qualitative practices",

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.",

keywords = "Audio annotation, Collaborative sensemaking, QDAS",

author = "Jay Rainey and Kyle Montague and Pamela Briggs and Robert Anderson and Thomas Nappey and Patrick Olivier",

year = "2019",

doi = "10.1145/3290605.3300607",

language = "English",

editor = "Cox, {Anna } and Vassilis Kostakos",

booktitle = "Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "International Conference on Human Factors in Computing Systems 2019, CHI 2019 ; Conference date: 04-05-2019 Through 09-05-2019",

url = "https://chi2019.acm.org, https://dl.acm.org/doi/proceedings/10.1145/3290605",

}

Rainey, J, Montague, K, Briggs, P, Anderson, R, Nappey, T & Olivier, P 2019, Gabber: supporting voice in participatory qualitative practices. in A Cox & V Kostakos (eds), Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems., 377, Association for Computing Machinery (ACM), New York NY USA, International Conference on Human Factors in Computing Systems 2019, Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290605.3300607

Gabber: supporting voice in participatory qualitative practices. / Rainey, Jay; Montague, Kyle; Briggs, Pamela et al.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ed. / Anna Cox; Vassilis Kostakos. New York NY USA: Association for Computing Machinery (ACM), 2019. 377.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Gabber

T2 - International Conference on Human Factors in Computing Systems 2019

AU - Rainey, Jay

AU - Montague, Kyle

AU - Briggs, Pamela

AU - Anderson, Robert

AU - Nappey, Thomas

AU - Olivier, Patrick

N1 - Conference code: 37th

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Audio annotation

KW - Collaborative sensemaking

KW - QDAS

UR - http://www.scopus.com/inward/record.url?scp=85067614291&partnerID=8YFLogxK

U2 - 10.1145/3290605.3300607

DO - 10.1145/3290605.3300607

M3 - Conference Paper

AN - SCOPUS:85067614291

BT - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

A2 - Cox, Anna

A2 - Kostakos, Vassilis

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

Y2 - 4 May 2019 through 9 May 2019

ER -

Gabber: supporting voice in participatory qualitative practices

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this