Experiences from Extreme Citizen Science: Using Smartphone-based Data Collection Tools with Low-literate People
| Autor: | Artemis Skarlatidou, Michalis Vitos, F. Moustard |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Data collection
business.industry Field (Bourdieu) 05 social sciences Developing country 020207 software engineering 02 engineering and technology Public relations Environmental governance Political science Sustainability 0202 electrical engineering electronic engineering information engineering Citizen science Research studies 0501 psychology and cognitive sciences business Set (psychology) 050107 human factors |
| Zdroj: | Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems CHI Extended Abstracts |
| DOI: | 10.1145/3334480.3375220 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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