Sethu-Jones, GR;
Rogers, Y;
Marquardt, N;
(2017)
Data in the garden: a framework for exploring provocative prototypes as part of research in the wild.
In:
OZCHI '17 Proceedings of the 29th Australian Conference on Computer-Human Interaction.
(pp. pp. 318-327).
ACM (Association for Computing Machinery): New York, NY, USA.
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Abstract
Research in the Wild (RITW) typically involves the deployment of technology in a setting, using the methodology of ‘probing’ contexts, to change behaviour or enhance community practice. This way of conducting HCI research is becoming an increasingly popular approach. To help in this endeavour, Rogers and Marshall [28] present an overarching framework that considers the different aspects involved. As part of the framework, they stress the importance of the design of the technology to be deployed. However, they do not detail how researchers should go about this. Here, we propose how to fill this gap: by providing a more explicit and principled rationale as part of RITW, presenting a method for accomplishing this, and reporting a case study about community gardening that uses a provocative prototype.
| Type: | Proceedings paper |
|---|---|
| Title: | Data in the garden: a framework for exploring provocative prototypes as part of research in the wild |
| Event: | OZCHI '17 |
| Location: | Brisbane, Australia |
| Dates: | 28 November 2017 - 01 December 2017 |
| ISBN-13: | 9781450353793 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3152771.3152805 |
| Publisher version: | http://doi.org/10.1145/3152771.3152805 |
| Language: | English |
| Additional information: | © 2017 Copyright is held by the owner/author(s). Publication rights licensed to ACM. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Research In The Wild, Provocative Prototypes, Community Gardening |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10041495 |
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