Designing Participatory Sensing with Remote Communities to Conserve Endangered Species

Citizen Science & Crowdsourced DataDeveloping Countries & HCI for Development (HCI4D)Human-Nature Relationships (More-than-Human Design)Social WorkersEnvironmental AdvocatesSociologists & Anthropologists

The increasing loss of species globally calls for effective monitoring tools and strategies to inform conservation action. The dominant approach to citizens engagement has been smart phone and platform-centric, tasking crowds to collect and analyze data. However, many critically endangered species inhabit remote areas, characterized by sparsely populated communities with poor internet connectivity. Approaches need to garner high engagement relative to population size, with data collection and knowledge synthesis suited to the local context. We conducted a field study in remote communities to understand how to enhance conservation of Bhutan's critically endangered White-bellied heron by exploring existing monitoring practices and trialing acoustic sensing technologies. We found that knowledge about the species is partial, heterogeneous, situated within and across communities and rooted in cultural beliefs. Sensors, acoustic interfaces, and playful probes provided new ways for the community to 'see' and discuss their local environment fostering them to share and grow their knowledge together. We contribute a synthesis of key considerations for designing effective participatory sensing to conserve species in remote communities.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/8166/2019

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2019
emoji_events
Award
No award tagged
group
Authors
3 authors
sell
Subtopics
Citizen Science & Crowdsourced Data, Developing Countries & HCI for Development (HCI4D), Human-Nature Relationships (More-than-Human Design)
work
Professions
Social Workers, Environmental Advocates, Sociologists & Anthropologists
article
Content Status
Abstract only
hub
Related Papers
0 related papers