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Supporting collaboration with non-literate forest communities in the congo-basin

Vitos, M; Altenbuchner, J; Stevens, M; Conquest, G; Lewis, J; Haklay, M; (2017) Supporting collaboration with non-literate forest communities in the congo-basin. In: CSCW '17 Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. (pp. pp. 1576-1590). ACM: New York, NY, USA. Green open access

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Abstract

Providing indigenous communities with ICT tools and methods for collecting and sharing their Traditional Ecological Knowledge is increasingly recognised as an avenue for improvements in environmental governance and socialenvironmental justice. In this paper we show how we carried out a usability engineering effort in the “wild” context of the Congolese rainforest – designing, evaluating and iteratively improving novel collaborative data collection interfaces for non-literate forest communities that can subsequently be used to facilitate communication and information sharing with logging companies. Working in this context necessitates adopting a thoroughly flexible approach to the design, development, introduction and evaluation of technology and the modes of interaction it offers. We show that we have improved participant accuracy from about 75% towards 95% and provide a set of guidelines for designing and evaluating ICT solutions in “extreme circumstances” – which hold lessons for CSCW, HCI and ICT4D practitioners dealing with similar challenges.

Type: Proceedings paper
Title: Supporting collaboration with non-literate forest communities in the congo-basin
Event: CSCW 2017
ISBN-13: 9781450343350
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2998181.2998242
Publisher version: http://dx.doi.org/10.1145/2998181.2998242
Language: English
Additional information: © 2017 Copyright held by the owner/author(s).
Keywords: HCI4D; ICT4D; CSCW; Usability experiments; Research in the wild; Audio interfaces; Physical interfaces; Participatory mapping; Natural resource management
UCL classification: UCL
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 SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Anthropology
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography
URI: https://discovery.ucl.ac.uk/id/eprint/1550478
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