1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | mtc-m21b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP5W34M/3HE6FKL |
Repository | sid.inpe.br/mtc-m21b/2014/11.19.00.01.12 |
Last Update | 2014:12.09.13.38.19 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m21b/2014/11.19.00.01.13 |
Metadata Last Update | 2018:06.04.03.04.34 (UTC) administrator |
DOI | 10.1117/12.2050183 |
ISBN | 9781628410594 |
ISSN | 0277786X |
Label | scopus 2014-11 MoraisSantRadd:2014:NeNeBa |
Citation Key | MoraisSantRadd:2014:NeNeBa |
Title | Neural network based visualization of collaborations in a citizen science project |
Year | 2014 |
Access Date | 2024, May 19 |
Secondary Type | PRE CI |
Number of Files | 1 |
Size | 384 KiB |
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2. Context | |
Author | 1 Morais, Alessandra Marli M. 2 Santos, Rafael Duarte Coelho dos 3 Raddick, M. Jordan |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JJ4N |
Group | 1 LAC-CTE-INPE-MCTI-GOV-BR 2 LAC-CTE-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Johns Hopkins University, Baltimore, MD, United States |
e-Mail Address | marcelo.pazos@inpe.br |
Conference Name | Next-Generation Analyst, 2. |
Conference Location | Baltimore |
Date | may 5, 2014 |
Publisher | SPIE |
Publisher City | Baltimore, MD |
Volume | 9122 |
Book Title | Proceedings |
History (UTC) | 2018-06-04 03:04:34 :: administrator -> marcelo.pazos@inpe.br :: 2014 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | 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 |
Abstract | 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 |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Neural network based... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP5W34M/3HE6FKL |
zipped data URL | http://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP5W34M/3HE6FKL |
Language | en |
Target File | 912207.pdf |
User Group | administrator marcelo.pazos@inpe.br |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | iconet.com.br/banon/2006/11.26.21.31 |
Next Higher Units | 8JMKD3MGPCW/3ESGTTP |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.58.32 2 |
Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
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6. Notes | |
Empty Fields | 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 schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url |
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7. Description control | |
e-Mail (login) | marcelo.pazos@inpe.br |
update | |
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