Galaxy Zoo User Behaviors 1: User classification trends

Details Galaxy Zoo User Behaviors 1: User classification trends Galaxy Zoo User Behaviors 1: User classification trends

Jan 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21546702p&link_type=abstract

American Astronomical Society, AAS Meeting #215, #467.02; Bulletin of the American Astronomical Society, Vol. 42, p.509

Astronomy and Astrophysics

Astronomy

Scientific paper

In this poster we examine patterns of classification behavior among Galaxy Zoo users. The Galaxy Zoo project (Lintott 2008) asks users to look at images of galaxies from the Sloan Digital Sky Survey and to classify them based on their appearance. The success of this project, measured through 14 scientific journal articles, comes in large part from the dedicated contributions from over 230,000 registered users. These users have each contributed anywhere from a small handful of galaxy classifications to a few tens-of-thousands of classifications. While user behaviors vary greatly, we find that there are certain patterns of behavior that predict which individuals will make significant numbers of classifications over the course of their involvement in the project. Specifically, we study how the number of classifications a person makes shortly after they register for the site can predict future classification behavior. We also look for patterns in what events trigger users registering for the site and returning to site. Where possible, we break patterns of behavior down by gender, and study differences between populations who join at pivotal moments (site launch, major announcement, etc), join as the result of one-on-one contact with a member of the Galaxy Zoo collaboration, and the remaining population. The research was funded by NASA ROSES NNX09AD34G.

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