@InProceedings{MoraisRaddSant:2013:ViChUs,
               author = "Morais, Alessandra Marli M. and Raddick, Jordan and Santos, Rafael 
                         Duarte Coelho",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and The Johns 
                         Hopkins University, Baltimore, Maryland, USA. and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Visualization and characterization of users in a citizen science 
                         project",
            booktitle = "Proceedings...",
                 year = "2013",
         organization = "Next-Generation Analyst.",
                 note = "{Proc. SPIE 8758}",
             keywords = "visual analytics, visualization, citizen science, collaborative 
                         systems.",
             abstract = "Recent technological advances allowed the creation and use of 
                         internet-based systems where many users can collaborate gathering 
                         and sharing information for specic or general purposes: social 
                         networks, e-commerce review systems, collaborative knowledge 
                         systems, etc. Since most of the data collected in these systems is 
                         user-generated, understanding of the motivations and general 
                         behavior of users is a very important issue. Of particular 
                         interest are citizen science projects, where users without 
                         scientic training are asked for collaboration labeling and 
                         classifying information (either automatically by giving away idle 
                         computer time or manually by actually seeing data and providing 
                         information about it). Understanding behavior of users of those 
                         types of data collection systems may help increase the involvement 
                         of the users, categorize users accordingly to different 
                         parameters, facilitate their collaboration with the systems, 
                         design better user interfaces, and allow better planning and 
                         deployment of similar projects and systems. Behavior of those 
                         users could be estimated through analysis of their collaboration 
                         track: registers of which user did what and when can be easily and 
                         unobtrusively collected in several dierent ways, the simplest 
                         being a log of activities. In this paper we present some results 
                         on the visualization and characterization of almost 150.000 users 
                         with more than 80.000.000 collaborations with a citizen science 
                         project - Galaxy Zoo I, which asked users to classify galaxies' 
                         images. Basic visualization techniques are not applicable due to 
                         the number of users, so techniques to characterize users' behavior 
                         based on feature extraction and clustering are used.",
  conference-location = "Baltimore, Maryland, USA",
      conference-year = "Apr. 29, 2013",
                  doi = "10.1117/12.2015888",
                  url = "http://dx.doi.org/10.1117/12.2015888",
                label = "self-archiving-INPE-MCTI-GOV-BR",
             language = "en",
           targetfile = "Visualization and characterization of users in a citizen science 
                         project.pdf",
                  url = "http://dx.doi.org/10.1117/12.2015888",
               volume = "8758",
        urlaccessdate = "08 maio 2024"
}