Smartphone Icon User Interface design for non-literate trackers and its implications for an inclusive citizen science

Liebenberg, Louis; Steventon, Justin; Brahman, Nate; Benadie, Karel; Minye, James; Langwane, Horekhwe; Quashe,; Xhukwe, Uase

doi:10.1016/j.biocon.2016.04.033

Cited by 58 publications

(43 citation statements)

References 46 publications

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“…We first performed the examination of the related work with a particular emphasis on publications stemming from the selected initiatives, i.e. (Altenbuchner, 2018; E. H. Blake, 2002;Chiaravalloti, 2017aChiaravalloti, , 2017bChiaravalloti, Homewood, & Erikson, 2017;Liebenberg et al, 2017;Stevens et al, 2013Stevens et al, , 2014Vitos, 2018a;Vitos et al, 2017Vitos et al, , 2013. From our goals and the related work examination the two authors individually extracted themes that were later refined in an internal discussion, as well as in a discussion that followed the workshop where the initial outline of our work was presented Workshop at UCL, London (2018).…”

Section: Methodsmentioning

confidence: 99%

“…It is worth mentioning that our analysis remains limited to mobile computing technologies (with mainly pictorial interfaces, which target non-literate and low-literate users) as it was the method of choice for data collection in all the studies we examined. The most common tool we encountered was Sapelli (Stevens et al, 2013), followed by Cybertracker (Liebenberg et al, 2017) and Open Data Kit (Hartung et al, 2010) (see Table 1). However, other tools, either alone or in combination with mobile apps, such as paper surveys, maps, special sensing equipment and others, may be used in extreme citizen science projects.…”

Section: Designing Mobile-based Data Collectionmentioning

confidence: 99%

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Understanding Interaction Design Challenges in Mobile Extreme Citizen Science

Pejović

Skarlatidou

2019

International Journal of Human–Computer Interaction

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Extreme citizen science is a bottom up practice used to empower people by supporting them, via processes and technological tools, to find solutions for local problems, but also to tackle major sustainability challenges of the 21 st century. Methods and tools based on mobile computing have been utilized by communities in various parts of the world, from the Congo Basin through the Amazonian rain forest. However, extreme citizen science initiatives often face severe challenges as predesigned technological solutions prove to be non-transferable to peculiar environments of rural developing regions. In this paper we collect and investigate evidence from the implementation of various extreme citizen science initiatives in the developing world. Our aim is to identify key obstacles towards their successful realization, mainly focusing on the problem of user interaction with mobile computing solutions. We conduct interviews with nine experienced researchers who all performed extensive fieldwork within these initiatives, and who reflect on the technology interaction, knowledge organization, inter-cultural, social and usability issues. Based on our analysis we report among others, symptomatic difficulties with abstractions, representational hierarchies, and navigation commands, as well as potential improvements that mobile technology developers can implement in order to create a more inclusive environment for extreme citizen science.

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Section: Methodsmentioning

confidence: 99%

Section: Designing Mobile-based Data Collectionmentioning

confidence: 99%

Understanding Interaction Design Challenges in Mobile Extreme Citizen Science

Pejović

Skarlatidou

2019

International Journal of Human–Computer Interaction

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“…Citizen science emerged and gained popularity in the Western academe as a result of a rapid expansion of information and communication technologies (ICTs) . Scientists in various disciplines, in particular, ecology and conservation scholars, discovered the potential to cut the costs of research and bring their projects to scale: by mobilizing volunteers to collect environmental observations (bird counting, taking water samples) and sending them via their ICT devices to an online database, they were able to obtain panel data of unprecedented scope and scale (Liebenberg et al, 2017;Cieslik et al, 2018). This became known as participatory environmental monitoring: engaging the citizens in collecting observations that help scientists build better models.…”

Section: Participatory Science Participatory Environmental Monitorinmentioning

confidence: 99%

Building Resilience to Chronic Landslide Hazard Through Citizen Science

et al. 2019

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“…Icon-based apps have predominated in places where foreign scientists had to cope with language barriers or a lack of literacy on the part of their field assistants. Examples of successful deployment of icon-based apps include indigenous groups monitoring fisheries in the Brazilian Amazon (Oviedo and Bursztyn 2017) and residents of Congo discovering and reporting an outbreak of Ebola virus in wildlife before it spread to humans (Liebenberg et al 2017). CyberTracker (https://www.cybertracker.org), an open-source project, allows researchers to build Android apps customized for particular environments and research goals.…”

Section: Interoperabilitymentioning

confidence: 99%

Data Infrastructure and Local Stakeholder Engagement with Biodiversity Conservation Research

Krzton¹

2019

JeSLIB

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Biodiversity research that informs conservation action is increasingly data intensive. Cutting-edge projects at large institutions use massive aggregated datasets to build dynamic models and conduct novel analyses of natural systems. Most of these research institutions are geographically distant from the highest-priority conservation areas, which are found in South America, Africa, and Southeast Asia. There, data is typically collected by or with the help of local residents hired as field assistants. These field assistants have few meaningful opportunities to participate in biodiversity research and conservation beyond data logging. The literature indicates the data revolution has increased demand for impersonal and integrated large-scale systems that aggregate biodiversity data across sources with minimal friction. In this study, interviews were conducted with six active conservation workers to identify elements of these data systems that create barriers to field assistants' engagement with the projects they make possible. As both creators and consumers of data, all six relayed frustration with various aspects of their data workflows. Regarding field assistant interaction with digital data systems, they observed that their field assistants engaged only at the initial point of data entry or not at all. Some suggested mobile apps as a good solution for field data collection. Abstract ContinuedHowever, some also expressed doubt that their local assistants had the necessary knowledge background to navigate digital systems or understand scientific methodologies. These results suggest that trying to mold field assistants to fit existing data infrastructure and adapting purpose-built data systems to nontechnical users are both sub-optimal solutions. A human-mediated capacity building paradigm, which requires embedding people who are both culturally literate and data literate alongside field assistants, is explored as an alternative path to making data meaningful. Improving the accessibility of data this way can empower local communities to share ownership in biodiversity conservation.Journal of eScience Librarianship e1174 | 3 Data and Local Engagement with Biodiversity Conservation JeSLIB 2019; 8(2): e1174

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Smartphone Icon User Interface design for non-literate trackers and its implications for an inclusive citizen science

Cited by 58 publications

References 46 publications

Understanding Interaction Design Challenges in Mobile Extreme Citizen Science

Understanding Interaction Design Challenges in Mobile Extreme Citizen Science

Building Resilience to Chronic Landslide Hazard Through Citizen Science

Data Infrastructure and Local Stakeholder Engagement with Biodiversity Conservation Research

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