AuthorCAST Program
Anthropomorphism and motivating participation in citizen science projects
Published
2 years agoon
In this AuthorCast, Dr. Zoey Rosen, a postdoctoral research associate at the Institute for Public Policy Research and Analysis at the University of Oklahoma, shares research on whether making scientific instruments feel more human can motivate participation in citizen science.
The study in 60 seconds
Sustaining participation
Citizen science projects need people to stay engaged long enough to collect useful data.
The experiment
The team tested whether anthropomorphizing air-quality samplers could support motivation.
Evidence
Anthropomorphism was linked to motivations around community, competence, and scientific contribution.
The study
The study involved 30 participants in one project over eight weeks, so the findings need further testing.
The context
Citizen science depends on people not only joining projects, but remaining engaged over time. As more projects rely on sensors, digital platforms, and automated instruments, Rosen and her colleagues ask whether the design of those technologies can influence peopleโs motivation to participate.
Recent work has investigated participant-based outcomes, such as motivation to participate. Why do we want to participate in citizen science?
Rather than looking only at the technology itself, the team drew from human-robot interaction research to ask whether peopleโs relationship with scientific instruments might matter.
With the growing use of new technologies and digital platforms in citizen science projects, there’s an opportunity here to draw from that human-robot interaction literature to study participant motivation.
The response
The researchers focused on anthropomorphism โ assigning human characteristics to non-human objects.
Anthropomorphism is the prescribing of mental and physical human attributes to non-human agents.
In the Citizen-Enabled Aerosol Measurements for Satellites project, participants used low-cost air-quality samplers to measure regional air quality. The team encouraged participants to relate to the instruments as collaborators, not just tools.
Name the sampler
Participants gave their instruments names and used โHello, my name isโ stickers.
Use relational language
Training materials and manuals used names, pronouns, and anthropomorphic language.
Frame teamwork
Participants were encouraged to think of themselves and the sampler as working together.
Ultimately, we wanted these samplers to be a partner in data collection.
As a citizen scientist, you are working together with your sampler to measure the air.
What the evidence suggests
The researchers evaluated this approach during an eight-week study involving 30 students participating in NASAโs Student Airborne Research Program.
Community
Sociality was positively associated with the desire to build community.
Competence
Affectance was positively associated with perceived competence at several points in the study.
Scientific contribution
Elicited agent knowledge was positively associated with the desire to contribute to scientific knowledge.
The study found partial experimental support that anthropomorphism may strengthen several motivations associated with citizen science participation.
Our study shows exciting partial experimental support for the proposed relationships between the SEEK model of anthropomorphism and motivation to participate in citizen science projects.
What practitioners can try
Citizen science projects often focus on improving the scientific capabilities of their technologies. This study suggests that communication and interaction design also deserve attention.
Small design choices may matter.
- Name devices or instruments when appropriate.
- Use participant-facing language that makes technology feel approachable.
- Frame scientific instruments as collaborators in the research process.
- Test whether these choices affect motivation across different participant groups.
Incorporating anthropomorphism into your materials and your instruments of your citizen science project should be tried by other project managers to encourage participant motivation.
As citizen science increasingly incorporates sensors, automated technologies, artificial intelligence, and digital platforms, the study points toward a practical question: how can civic science technologies be designed to feel approachable, collaborative, and worth returning to?
The limitations
The findings should be interpreted with caution. The study involved 30 participants in a single citizen science project over eight weeks. While the researchers identified several statistically significant relationships, they describe the evidence as partial.
Future studies with larger and more diverse participant populations will be needed to determine whether these findings generalize across other citizen science settings, technologies, and communities.
Additional reading suggested by Dr. Rosen
- A national crowdsourced network of low-cost fine particulate matter and aerosol optical depth monitors
- A low-cost monitor for simultaneous measurement of fine particulate matter and aerosol optical depth โ Part 3
- A low-cost monitor for measurement of fine particulate matter and aerosol optical depth โ Part 2
What follow-on action(s) did you take based on the insights above?
Civic Science Media Lab (CSML) Intelligence delivers rapid analysis based on our reporting and ongoing landscape work, providing synthesized insights into the latest developments shaping the civic science landscape.
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