Área de identificação | |
Tipo de Referência | Artigo em Evento (Conference Proceedings) |
Site | mtc-m21b.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP5W34M/3HE6FKL |
Repositório | sid.inpe.br/mtc-m21b/2014/11.19.00.01.12 |
Última Atualização | 2014:12.09.13.38.19 administrator |
Metadados | sid.inpe.br/mtc-m21b/2014/11.19.00.01.13 |
Última Atualização dos Metadados | 2018:06.04.03.04.34 administrator |
DOI | 10.1117/12.2050183 |
ISBN | 9781628410594 |
ISSN | 0277786X |
Rótulo | scopus 2014-11 MoraisSantRadd:2014:NeNeBa |
Chave de Citação | MoraisSantRadd:2014:NeNeBa |
Título | Neural network based visualization of collaborations in a citizen science project  |
Ano | 2014 |
Data de Acesso | 26 fev. 2021 |
Número de Arquivos | 1 |
Tamanho | 384 KiB |
Área de contextualização | |
Autor | 1 Morais, Alessandra Marli M. 2 Santos, Rafael Duarte Coelho dos 3 Raddick, M. Jordan |
Identificador de Curriculo | 1 2 8JMKD3MGP5W/3C9JJ4N |
Grupo | 1 LAC-CTE-INPE-MCTI-GOV-BR 2 LAC-CTE-INPE-MCTI-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Johns Hopkins University, Baltimore, MD, United States |
Endereço de e-Mail | marcelo.pazos@inpe.br |
Nome do Evento | Next-Generation Analyst, 2. |
Localização do Evento | Baltimore |
Data | may 5, 2014 |
Volume | 9122 |
Título do Livro | Proceedings |
Editora (Publisher) | SPIE |
Cidade da Editora | Baltimore, MD |
Tipo Secundário | PRE CI |
Histórico | 2018-06-04 03:04:34 :: administrator -> marcelo.pazos@inpe.br :: 2014 |
Área de conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteudo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Conformal mapping, Distributed computer systems, Flow visualization, Galaxies, User interfaces, Visualization, Citizen science, Data collecting system, Data collection system, Distributed data processing, Kohonen self-organizing maps, Pixel-based techniques, Visual identification, Visualization technique, Behavioral research. |
Resumo | Citizen science projects are those in which volunteers are asked to collaborate in scientific projects, usually by volunteering idle computer time for distributed data processing efforts or by actively labeling or classifying information - shapes of galaxies, whale sounds, historical records are all examples of citizen science projects in which users access a data collecting system to label or classify images and sounds. In order to be successful, a citizen science project must captivate users and keep them interested on the project and on the science behind it, increasing therefore the time the users spend collaborating with the project. Understanding behavior of citizen scientists and their interaction with the data collection systems may help increase the involvement of the users, categorize them 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. Users behavior can be actively monitored or derived from their interaction with the data collection systems. Records of the interactions can be analyzed using visualization techniques to identify patterns and outliers. In this paper we present some results on the visualization of more than 80 million interactions of almost 150 thousand users with the Galaxy Zoo I citizen science project. Visualization of the attributes extracted from their behaviors was done with a clustering neural network (the Self-Organizing Map) and a selection of icon- and pixel-based techniques. These techniques allows the visual identification of groups of similar behavior in several different ways. |
Area | COMP |
Arranjo | |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | não têm arquivos |
Área de condições de acesso e uso | |
URL dos dados | http://urlib.net/rep/8JMKD3MGP5W34M/3HE6FKL |
URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP5W34M/3HE6FKL |
Idioma | en |
Arquivo Alvo | 912207.pdf |
Grupo de Usuários | administrator marcelo.pazos@inpe.br |
Visibilidade | shown |
Permissão de Atualização | não transferida |
Área de fontes relacionadas | |
Repositório Espelho | iconet.com.br/banon/2006/11.26.21.31 |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ESGTTP |
Acervo Hospedeiro | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
Área de notas | |
Campos Vazios | accessionnumber archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination edition editor electronicmailaddress format lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url |
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