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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP5W34M/3HE6FKL
Repositorysid.inpe.br/mtc-m21b/2014/11.19.00.01.12
Last Update2014:12.09.13.38.19 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2014/11.19.00.01.13
Metadata Last Update2018:06.04.03.04.34 (UTC) administrator
DOI10.1117/12.2050183
ISBN9781628410594
ISSN0277786X
Labelscopus 2014-11 MoraisSantRadd:2014:NeNeBa
Citation KeyMoraisSantRadd:2014:NeNeBa
TitleNeural network based visualization of collaborations in a citizen science project
Year2014
Access Date2024, May 19
Secondary TypePRE CI
Number of Files1
Size384 KiB
2. Context
Author1 Morais, Alessandra Marli M.
2 Santos, Rafael Duarte Coelho dos
3 Raddick, M. Jordan
Resume Identifier1
2 8JMKD3MGP5W/3C9JJ4N
Group1 LAC-CTE-INPE-MCTI-GOV-BR
2 LAC-CTE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Johns Hopkins University, Baltimore, MD, United States
e-Mail Addressmarcelo.pazos@inpe.br
Conference NameNext-Generation Analyst, 2.
Conference LocationBaltimore
Datemay 5, 2014
PublisherSPIE
Publisher CityBaltimore, MD
Volume9122
Book TitleProceedings
History (UTC)2018-06-04 03:04:34 :: administrator -> marcelo.pazos@inpe.br :: 2014
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsConformal 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
AbstractCitizen 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.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Neural network based...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP5W34M/3HE6FKL
zipped data URLhttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP5W34M/3HE6FKL
Languageen
Target File912207.pdf
User Groupadministrator
marcelo.pazos@inpe.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ESGTTP
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.58.32 2
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
Empty Fieldsarchivingpolicy 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 schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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