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Will You Help Me With This? Motivating Volunteers
to Participate in Citizen Science Projects
Dana Rotman, Jennifer Preece, Jennifer Hammock,
Derek Hansen, Cynthia Parr, David Jacobs
HCIL Symposium, May 22, 2012
Plymouth State University
Research Questions
What are the major motivational factors affecting
volunteers and scientists’ engagement in citizen
science projects?
1
What are the major motivational barriers to such
collaboration?
2
Principles of social participation
Liam Q @ Flickr
Batson, Ahmed and Chang, 2002
yarotman AP
Buckeye98 @Flickr
XXTeresaXX@Flickr
Egoism
PrincipalismCollectivism
Altruism
EOL
AP
Methods
Participants
Scientists n = 62 (44%)
Volunteers n = 80 (56%)
Experience
Less than a year
Scientists
Volunteers
n = 16
n = 35
(25%)
(44%)
More than a year
Scientists
Volunteers
n = 46
n = 45
(75%)
(56%)
Gender
Male
Scientists
Volunteers
n = 38
n = 46
(60%)
(57%)
Female
Scientists
Volunteers
n = 24
n = 34
(40%)
(43%)
N = 142
Magnusfrankkun @ Flickr
Survey
18 interviews
0
1
2
3
4
5
Altruism Collectivism Principalism Egoism
Motivationallevel-Likertscale
Motivational Factors
Scientists
Volunteers
N = 142
Scientists
Education and outreach
“I don’t think people can make good
decisions, be it policy or environmental or
anything else, unless they understand how
things work. This provides the opportunity to
educate people through a valid citizen science
program”
Data needs
“I see [volunteers] as most helpful in making
accurate observations… they are basically the
field component”
Volunteers
Primary motivation –
personal interest
“I think personal interest comes first.
Personal interest and personal gain”.
“I would be less inclined to participate in
something I had little interest in, even if it
was a worthy endeavor”
Secondary motivations –
recognition and attribution
“I’m not really, obviously, objected to glory. I
do expect attribution… I would always like to
be the first one to put a photo up there, it’s
got to count somehow”
“It’s not about spending time or money. It’s
more about the constant feedback to the
volunteers that what we’re doing is useful and
being used”
Volunteers
Volunteers
“It’s the combination of being an affective
citizen scientist and seeing the community
thrive… people really care about their natural
resources here”
“It’s a perfect opportunity to help people
understand their environment. I hope that
something that you say will make a dent and
make them more curious and they’ll go home
and pick a book or they’ll call you back”
Secondary motivations –
community involvement and advocacy
De-motivating factors
“Scientists are intimidating”
“Scientists speak a different
jargon”
Volunteers Scientists
“they may potentially
contaminate the data”
“we need quality control!”
“people won’t come back if there isn’t a loop
of credibility and trust and things that they
can see that are being accomplished as a result
of the data they are collecting”
Process model of scientists’ and volunteers’ collaboration
Without scientists’
recognition = loss
of motivation
Personal interest
initial or ongoing
Initial involvement
Interaction with
scientists
Recognition
Training, attribution,
feedback
Continued involvement
Ongoing attribution,
inclusion in scientific work,
community involvement ,
advocacy
egoism
egoism
Egoism,
collectivism,
altruism
Without scientists’
continued
recognition = loss
of motivation
Scientists’ need for
data
Scientists’ altruistic
support for public
education
Design to support motivation
 Timing is everything (egoism)
 Highlight data use and reuse (Egoism)
Emphasize locality (collectivism)
Break tasks to small, building blocks
(Collectivism & altruism)
Support synergy (Collectivism)
 Match scientists, volunteers and tasks
(Egoism, collectivism, altruism)
Timing is everything
toniVC @ Flickr
Highlighting data use and reuse
http://www.divematrix.com/showthread.php?9520-hehehehe-Hermit-Crab-movin-on-up!
Emphasize locality
toniVC @ Flickr
Yarotman
Break tasks into smaller building blocks;
support synergy
Ksgr @ Flickr
Match scientists, volunteers and tasks
muhawi001@ FlickrJessi.bryan @ Flickr
Conclusion
Scientific projects are becoming collaborative efforts1
2
To design successful tools we need to be familiar with
the various populations that participate in scientific
collaborative projects
3
Collaborative scientific project are continuous –
motivations change throughout the projects. Design
should accord these changes
danarotman
drotman@umd.edu
Supported by NSF SoCS grant # 0968546
Questions?

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05 22 rotman_preece

  • 1. Will You Help Me With This? Motivating Volunteers to Participate in Citizen Science Projects Dana Rotman, Jennifer Preece, Jennifer Hammock, Derek Hansen, Cynthia Parr, David Jacobs HCIL Symposium, May 22, 2012
  • 3. Research Questions What are the major motivational factors affecting volunteers and scientists’ engagement in citizen science projects? 1 What are the major motivational barriers to such collaboration? 2
  • 4. Principles of social participation Liam Q @ Flickr Batson, Ahmed and Chang, 2002 yarotman AP Buckeye98 @Flickr XXTeresaXX@Flickr Egoism PrincipalismCollectivism Altruism EOL AP
  • 5. Methods Participants Scientists n = 62 (44%) Volunteers n = 80 (56%) Experience Less than a year Scientists Volunteers n = 16 n = 35 (25%) (44%) More than a year Scientists Volunteers n = 46 n = 45 (75%) (56%) Gender Male Scientists Volunteers n = 38 n = 46 (60%) (57%) Female Scientists Volunteers n = 24 n = 34 (40%) (43%) N = 142 Magnusfrankkun @ Flickr Survey 18 interviews
  • 6. 0 1 2 3 4 5 Altruism Collectivism Principalism Egoism Motivationallevel-Likertscale Motivational Factors Scientists Volunteers N = 142
  • 7. Scientists Education and outreach “I don’t think people can make good decisions, be it policy or environmental or anything else, unless they understand how things work. This provides the opportunity to educate people through a valid citizen science program” Data needs “I see [volunteers] as most helpful in making accurate observations… they are basically the field component”
  • 8. Volunteers Primary motivation – personal interest “I think personal interest comes first. Personal interest and personal gain”. “I would be less inclined to participate in something I had little interest in, even if it was a worthy endeavor”
  • 9. Secondary motivations – recognition and attribution “I’m not really, obviously, objected to glory. I do expect attribution… I would always like to be the first one to put a photo up there, it’s got to count somehow” “It’s not about spending time or money. It’s more about the constant feedback to the volunteers that what we’re doing is useful and being used” Volunteers
  • 10. Volunteers “It’s the combination of being an affective citizen scientist and seeing the community thrive… people really care about their natural resources here” “It’s a perfect opportunity to help people understand their environment. I hope that something that you say will make a dent and make them more curious and they’ll go home and pick a book or they’ll call you back” Secondary motivations – community involvement and advocacy
  • 11. De-motivating factors “Scientists are intimidating” “Scientists speak a different jargon” Volunteers Scientists “they may potentially contaminate the data” “we need quality control!” “people won’t come back if there isn’t a loop of credibility and trust and things that they can see that are being accomplished as a result of the data they are collecting”
  • 12. Process model of scientists’ and volunteers’ collaboration Without scientists’ recognition = loss of motivation Personal interest initial or ongoing Initial involvement Interaction with scientists Recognition Training, attribution, feedback Continued involvement Ongoing attribution, inclusion in scientific work, community involvement , advocacy egoism egoism Egoism, collectivism, altruism Without scientists’ continued recognition = loss of motivation Scientists’ need for data Scientists’ altruistic support for public education
  • 13. Design to support motivation  Timing is everything (egoism)  Highlight data use and reuse (Egoism) Emphasize locality (collectivism) Break tasks to small, building blocks (Collectivism & altruism) Support synergy (Collectivism)  Match scientists, volunteers and tasks (Egoism, collectivism, altruism)
  • 15. Highlighting data use and reuse http://www.divematrix.com/showthread.php?9520-hehehehe-Hermit-Crab-movin-on-up!
  • 16. Emphasize locality toniVC @ Flickr Yarotman
  • 17. Break tasks into smaller building blocks; support synergy Ksgr @ Flickr
  • 18. Match scientists, volunteers and tasks muhawi001@ FlickrJessi.bryan @ Flickr
  • 19. Conclusion Scientific projects are becoming collaborative efforts1 2 To design successful tools we need to be familiar with the various populations that participate in scientific collaborative projects 3 Collaborative scientific project are continuous – motivations change throughout the projects. Design should accord these changes
  • 20. danarotman drotman@umd.edu Supported by NSF SoCS grant # 0968546 Questions?