Skarlatidou, A;
Moustard, F;
Vitos, M;
(2020)
Experiences from Extreme Citizen Science: Using smartphone-based data collection tools with low-literate people.
In:
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems.
Association for Computing Machinery (ACM): Honolulu, HI, USA.
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Abstract
Citizen science gets increasing recognition for its potential to democratize science and support environmental governance. In this paper we present our experiences and lessons learned from a set of 'extreme' citizen science initiatives in developing countries, where data collection applications are used to support low-literate people in identifying solutions to issues that are of significant local concern. This paper aims to bring to the attention of the HCI community of developments in extreme citizen science and contribute knowledge to the field of HCI4D, especially to research studies which concern the design and use of smartphones for low-literate users.
| Type: | Proceedings paper |
|---|---|
| Title: | Experiences from Extreme Citizen Science: Using smartphone-based data collection tools with low-literate people |
| Event: | 2020 CHI Conference on Human Factors in Computing Systems (CHI '20) |
| Location: | Honolulu, HI, USA |
| Dates: | 25 April 2020 - 30 April 2020 |
| ISBN-13: | 9781450368193 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3334480.3375220 |
| Publisher version: | https://doi.org/10.1145/3334480.3375220 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL 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 Geography |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10094861 |
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