The datacatcher: Batch deployment and documentation of 130 location-aware, mobile devices that put sociopolitically-relevant big data in people's hands: Polyphonic interpretation at scale

William Gaver; Andy Boucher; Nadine Jarvis; Dave Cameron; Mark Hauenstein; Sarah Pennington; John Bowers; James Pike; Robin Beitra; Liliana Ovalle

doi:10.1145/2858036.2858472

The datacatcher: Batch deployment and documentation of 130 location-aware, mobile devices that put sociopolitically-relevant big data in people's hands: Polyphonic interpretation at scale

William Gaver, Andy Boucher, Nadine Jarvis, Dave Cameron, Mark Hauenstein, Sarah Pennington, John Bowers, James Pike, Robin Beitra, Liliana Ovalle

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

39 Citations (Scopus)

Abstract

This paper reports the results of a field trial of 130 bespoke devices as well as our methodological approach to the undertaking. Datacatchers are custom-built, location-aware devices that stream messages about the area they are in. Derived from a large number of 'big data' sources, the messages simultaneously draw attention to the sociopolitical topology of the lived environment and to the nature of big data itself. We used a service design consultancy to deploy the devices, and two teams of documentary filmmakers to capture participants' experiences. Here we discuss the development of this approach and how people responded to the Datacatchers as products, as revealing sociopolitical issues, and as purveyors of big data that might be open to question.

Original language	English
Title of host publication	CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems
Place of Publication	New York, NY, United States
Publisher	ACM
Pages	1597-1607
Number of pages	11
ISBN (Electronic)	9781450333627
DOIs	https://doi.org/10.1145/2858036.2858472
Publication status	Published - 7 May 2016
Externally published	Yes
Event	34th Annual Conference on Human Factors in Computing Systems, CHI 2016 - San Jose, United States Duration: 7 May 2016 → 12 May 2016

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	34th Annual Conference on Human Factors in Computing Systems, CHI 2016
Country/Territory	United States
City	San Jose
Period	7/05/16 → 12/05/16

Keywords

Batch deployment
Batch production
Big data
Location-based systems
Research through design

Research Group keywords

Interaction Research Studio

Access to Document

10.1145/2858036.2858472

Cite this

Gaver, W., Boucher, A., Jarvis, N., Cameron, D., Hauenstein, M., Pennington, S., Bowers, J., Pike, J., Beitra, R., & Ovalle, L. (2016). The datacatcher: Batch deployment and documentation of 130 location-aware, mobile devices that put sociopolitically-relevant big data in people's hands: Polyphonic interpretation at scale. In CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 1597-1607). (Conference on Human Factors in Computing Systems - Proceedings). ACM. https://doi.org/10.1145/2858036.2858472

Gaver, William ; Boucher, Andy ; Jarvis, Nadine et al. / The datacatcher : Batch deployment and documentation of 130 location-aware, mobile devices that put sociopolitically-relevant big data in people's hands: Polyphonic interpretation at scale. CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems. New York, NY, United States : ACM, 2016. pp. 1597-1607 (Conference on Human Factors in Computing Systems - Proceedings).

@inproceedings{2f42da249cf442c698dfaf6c061cdf87,

title = "The datacatcher: Batch deployment and documentation of 130 location-aware, mobile devices that put sociopolitically-relevant big data in people's hands: Polyphonic interpretation at scale",

abstract = "This paper reports the results of a field trial of 130 bespoke devices as well as our methodological approach to the undertaking. Datacatchers are custom-built, location-aware devices that stream messages about the area they are in. Derived from a large number of 'big data' sources, the messages simultaneously draw attention to the sociopolitical topology of the lived environment and to the nature of big data itself. We used a service design consultancy to deploy the devices, and two teams of documentary filmmakers to capture participants' experiences. Here we discuss the development of this approach and how people responded to the Datacatchers as products, as revealing sociopolitical issues, and as purveyors of big data that might be open to question.",

keywords = "Batch deployment, Batch production, Big data, Location-based systems, Research through design",

author = "William Gaver and Andy Boucher and Nadine Jarvis and Dave Cameron and Mark Hauenstein and Sarah Pennington and John Bowers and James Pike and Robin Beitra and Liliana Ovalle",

year = "2016",

month = may,

day = "7",

doi = "10.1145/2858036.2858472",

language = "English",

series = "Conference on Human Factors in Computing Systems - Proceedings",

publisher = "ACM",

pages = "1597--1607",

booktitle = "CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems",

address = "United States",

note = "34th Annual Conference on Human Factors in Computing Systems, CHI 2016 ; Conference date: 07-05-2016 Through 12-05-2016",

}

Gaver, W , Boucher, A, Jarvis, N, Cameron, D, Hauenstein, M, Pennington, S, Bowers, J, Pike, J, Beitra, R & Ovalle, L 2016, The datacatcher: Batch deployment and documentation of 130 location-aware, mobile devices that put sociopolitically-relevant big data in people's hands: Polyphonic interpretation at scale. in CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems. Conference on Human Factors in Computing Systems - Proceedings, ACM, New York, NY, United States, pp. 1597-1607, 34th Annual Conference on Human Factors in Computing Systems, CHI 2016, San Jose, United States, 7/05/16. https://doi.org/10.1145/2858036.2858472

The datacatcher: Batch deployment and documentation of 130 location-aware, mobile devices that put sociopolitically-relevant big data in people's hands: Polyphonic interpretation at scale. / Gaver, William ; Boucher, Andy; Jarvis, Nadine et al.
CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems. New York, NY, United States: ACM, 2016. p. 1597-1607 (Conference on Human Factors in Computing Systems - Proceedings).

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

TY - GEN

T1 - The datacatcher

T2 - 34th Annual Conference on Human Factors in Computing Systems, CHI 2016

AU - Gaver, William

AU - Boucher, Andy

AU - Jarvis, Nadine

AU - Cameron, Dave

AU - Hauenstein, Mark

AU - Pennington, Sarah

AU - Bowers, John

AU - Pike, James

AU - Beitra, Robin

AU - Ovalle, Liliana

PY - 2016/5/7

Y1 - 2016/5/7

N2 - This paper reports the results of a field trial of 130 bespoke devices as well as our methodological approach to the undertaking. Datacatchers are custom-built, location-aware devices that stream messages about the area they are in. Derived from a large number of 'big data' sources, the messages simultaneously draw attention to the sociopolitical topology of the lived environment and to the nature of big data itself. We used a service design consultancy to deploy the devices, and two teams of documentary filmmakers to capture participants' experiences. Here we discuss the development of this approach and how people responded to the Datacatchers as products, as revealing sociopolitical issues, and as purveyors of big data that might be open to question.

AB - This paper reports the results of a field trial of 130 bespoke devices as well as our methodological approach to the undertaking. Datacatchers are custom-built, location-aware devices that stream messages about the area they are in. Derived from a large number of 'big data' sources, the messages simultaneously draw attention to the sociopolitical topology of the lived environment and to the nature of big data itself. We used a service design consultancy to deploy the devices, and two teams of documentary filmmakers to capture participants' experiences. Here we discuss the development of this approach and how people responded to the Datacatchers as products, as revealing sociopolitical issues, and as purveyors of big data that might be open to question.

KW - Batch deployment

KW - Batch production

KW - Big data

KW - Location-based systems

KW - Research through design

UR - http://www.scopus.com/inward/record.url?scp=84978732292&partnerID=8YFLogxK

U2 - 10.1145/2858036.2858472

DO - 10.1145/2858036.2858472

M3 - Conference contribution

AN - SCOPUS:84978732292

T3 - Conference on Human Factors in Computing Systems - Proceedings

SP - 1597

EP - 1607

BT - CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York, NY, United States

Y2 - 7 May 2016 through 12 May 2016

ER -

Gaver W , Boucher A, Jarvis N, Cameron D, Hauenstein M, Pennington S et al. The datacatcher: Batch deployment and documentation of 130 location-aware, mobile devices that put sociopolitically-relevant big data in people's hands: Polyphonic interpretation at scale. In CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems. New York, NY, United States: ACM. 2016. p. 1597-1607. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/2858036.2858472

The datacatcher: Batch deployment and documentation of 130 location-aware, mobile devices that put sociopolitically-relevant big data in people's hands: Polyphonic interpretation at scale

Abstract

Publication series

Conference

Keywords

Research Group keywords

Access to Document

Other files and links

Fingerprint

The Datacatcher at 'The Data Imaginary: Fears and Fantasies'

Cite this