@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",
}