Visualization and characterization of users in a citizen science project

摘要: Recent technological advances allowed the creation and use of internet-based systems where many users can collaborate gathering sharing information for specific or general purposes: social networks, e-commerce review systems, collaborative knowledge etc. Since most data collected in these is user-generated, understanding motivations behavior a very important issue. Of particular interest are citizen science projects, without scientific training asked collaboration labeling classifying (either automatically by giving away idle computer time manually actually seeing providing about it). Understanding those types collection may help increase involvement users, categorize accordingly to different parameters, facilitate their with design better user interfaces, allow planning deployment similar projects systems. Behavior could be estimated through analysis track: registers which did what when easily unobtrusively several ways, simplest being log activities. In this paper we present some results on visualization characterization almost 150.000 more than 80.000.000 collaborations project - Galaxy Zoo I, classify galaxies' images. Basic techniques not applicable due number so characterize users' based feature extraction clustering used.