Quality control of geological voxel models using experts' gaze

Due to an expected increase in geological voxel model data-flow and user demands, the development of improved quality control for such models is crucial. This study explores the potential of a new type of quality control that improves the detection of errors by just using gaze behavior of 12 geologi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Computers & geosciences 2015-03, Vol.76, p.50-58
Hauptverfasser: van Maanen, Peter-Paul, Busschers, Freek S., Brouwer, Anne-Marie, van der Meulen, Michiel J., van Erp, Jan B.F.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 58
container_issue
container_start_page 50
container_title Computers & geosciences
container_volume 76
creator van Maanen, Peter-Paul
Busschers, Freek S.
Brouwer, Anne-Marie
van der Meulen, Michiel J.
van Erp, Jan B.F.
description Due to an expected increase in geological voxel model data-flow and user demands, the development of improved quality control for such models is crucial. This study explores the potential of a new type of quality control that improves the detection of errors by just using gaze behavior of 12 geological experts. Gaze is used as input for an attention model that results in ‘attended areas’ on sliced representations of part of a geological voxel model. We compared attended areas to errors as manually marked by the experts. We found a clear match between manually marked errors and attended areas as determined using gaze. We also found that a large proportion of this match is reached within a small amount of total viewing time. •We explored the potential of a new type of quality control of geological voxel models based on gaze of 12 experts.•We found a clear match between manually marked errors and attended areas as determined using gaze.•We also found that a large proportion of this match is reached within a small amount of total viewing time.
doi_str_mv 10.1016/j.cageo.2014.11.011
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1677985080</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0098300414002787</els_id><sourcerecordid>1677985080</sourcerecordid><originalsourceid>FETCH-LOGICAL-a354t-972e68e203d2c3cbe6b24e911f77e6c5f1aac4f273b4af79f6ae38f6753e80823</originalsourceid><addsrcrecordid>eNp9kM9LwzAYhoMoOKd_gZfe9NKaL2mb9KAg4i8YiKDnkKVfSkbWzKQbm3-9nfPs6b28zwvvQ8gl0AIo1DeLwugOQ8EolAVAQQGOyASk4LmQlB-TCaWNzDml5Sk5S2lBKWVMVhNy977W3g27zIR-iMFnwWbjkg-dM9pnm7BFny1Diz5l6-T6LsPtCuOQrrJOf-M5ObHaJ7z4yyn5fHr8eHjJZ2_Prw_3s1zzqhzyRjCsJTLKW2a4mWM9ZyU2AFYIrE1lQWtTWib4vNRWNLbWyKWtRcVRUsn4lFwfdlcxfK0xDWrpkkHvdY9hnRTUQjSyouPZKeGHqokhpYhWraJb6rhTQNXellqoX1tqb0sBqNHWSN0eqPEobhxGlYzD3mDrIppBtcH9y_8AgJhz0Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1677985080</pqid></control><display><type>article</type><title>Quality control of geological voxel models using experts' gaze</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>van Maanen, Peter-Paul ; Busschers, Freek S. ; Brouwer, Anne-Marie ; van der Meulen, Michiel J. ; van Erp, Jan B.F.</creator><creatorcontrib>van Maanen, Peter-Paul ; Busschers, Freek S. ; Brouwer, Anne-Marie ; van der Meulen, Michiel J. ; van Erp, Jan B.F.</creatorcontrib><description>Due to an expected increase in geological voxel model data-flow and user demands, the development of improved quality control for such models is crucial. This study explores the potential of a new type of quality control that improves the detection of errors by just using gaze behavior of 12 geological experts. Gaze is used as input for an attention model that results in ‘attended areas’ on sliced representations of part of a geological voxel model. We compared attended areas to errors as manually marked by the experts. We found a clear match between manually marked errors and attended areas as determined using gaze. We also found that a large proportion of this match is reached within a small amount of total viewing time. •We explored the potential of a new type of quality control of geological voxel models based on gaze of 12 experts.•We found a clear match between manually marked errors and attended areas as determined using gaze.•We also found that a large proportion of this match is reached within a small amount of total viewing time.</description><identifier>ISSN: 0098-3004</identifier><identifier>EISSN: 1873-7803</identifier><identifier>DOI: 10.1016/j.cageo.2014.11.011</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Attention model ; Computer simulation ; Demand ; Error analysis ; Error detection ; Errors ; Gaze ; Geological voxel model ; Geology ; Mathematical models ; Quality control ; Representations</subject><ispartof>Computers &amp; geosciences, 2015-03, Vol.76, p.50-58</ispartof><rights>2014 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a354t-972e68e203d2c3cbe6b24e911f77e6c5f1aac4f273b4af79f6ae38f6753e80823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.cageo.2014.11.011$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>van Maanen, Peter-Paul</creatorcontrib><creatorcontrib>Busschers, Freek S.</creatorcontrib><creatorcontrib>Brouwer, Anne-Marie</creatorcontrib><creatorcontrib>van der Meulen, Michiel J.</creatorcontrib><creatorcontrib>van Erp, Jan B.F.</creatorcontrib><title>Quality control of geological voxel models using experts' gaze</title><title>Computers &amp; geosciences</title><description>Due to an expected increase in geological voxel model data-flow and user demands, the development of improved quality control for such models is crucial. This study explores the potential of a new type of quality control that improves the detection of errors by just using gaze behavior of 12 geological experts. Gaze is used as input for an attention model that results in ‘attended areas’ on sliced representations of part of a geological voxel model. We compared attended areas to errors as manually marked by the experts. We found a clear match between manually marked errors and attended areas as determined using gaze. We also found that a large proportion of this match is reached within a small amount of total viewing time. •We explored the potential of a new type of quality control of geological voxel models based on gaze of 12 experts.•We found a clear match between manually marked errors and attended areas as determined using gaze.•We also found that a large proportion of this match is reached within a small amount of total viewing time.</description><subject>Attention model</subject><subject>Computer simulation</subject><subject>Demand</subject><subject>Error analysis</subject><subject>Error detection</subject><subject>Errors</subject><subject>Gaze</subject><subject>Geological voxel model</subject><subject>Geology</subject><subject>Mathematical models</subject><subject>Quality control</subject><subject>Representations</subject><issn>0098-3004</issn><issn>1873-7803</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kM9LwzAYhoMoOKd_gZfe9NKaL2mb9KAg4i8YiKDnkKVfSkbWzKQbm3-9nfPs6b28zwvvQ8gl0AIo1DeLwugOQ8EolAVAQQGOyASk4LmQlB-TCaWNzDml5Sk5S2lBKWVMVhNy977W3g27zIR-iMFnwWbjkg-dM9pnm7BFny1Diz5l6-T6LsPtCuOQrrJOf-M5ObHaJ7z4yyn5fHr8eHjJZ2_Prw_3s1zzqhzyRjCsJTLKW2a4mWM9ZyU2AFYIrE1lQWtTWib4vNRWNLbWyKWtRcVRUsn4lFwfdlcxfK0xDWrpkkHvdY9hnRTUQjSyouPZKeGHqokhpYhWraJb6rhTQNXellqoX1tqb0sBqNHWSN0eqPEobhxGlYzD3mDrIppBtcH9y_8AgJhz0Q</recordid><startdate>201503</startdate><enddate>201503</enddate><creator>van Maanen, Peter-Paul</creator><creator>Busschers, Freek S.</creator><creator>Brouwer, Anne-Marie</creator><creator>van der Meulen, Michiel J.</creator><creator>van Erp, Jan B.F.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201503</creationdate><title>Quality control of geological voxel models using experts' gaze</title><author>van Maanen, Peter-Paul ; Busschers, Freek S. ; Brouwer, Anne-Marie ; van der Meulen, Michiel J. ; van Erp, Jan B.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a354t-972e68e203d2c3cbe6b24e911f77e6c5f1aac4f273b4af79f6ae38f6753e80823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Attention model</topic><topic>Computer simulation</topic><topic>Demand</topic><topic>Error analysis</topic><topic>Error detection</topic><topic>Errors</topic><topic>Gaze</topic><topic>Geological voxel model</topic><topic>Geology</topic><topic>Mathematical models</topic><topic>Quality control</topic><topic>Representations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van Maanen, Peter-Paul</creatorcontrib><creatorcontrib>Busschers, Freek S.</creatorcontrib><creatorcontrib>Brouwer, Anne-Marie</creatorcontrib><creatorcontrib>van der Meulen, Michiel J.</creatorcontrib><creatorcontrib>van Erp, Jan B.F.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers &amp; geosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>van Maanen, Peter-Paul</au><au>Busschers, Freek S.</au><au>Brouwer, Anne-Marie</au><au>van der Meulen, Michiel J.</au><au>van Erp, Jan B.F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quality control of geological voxel models using experts' gaze</atitle><jtitle>Computers &amp; geosciences</jtitle><date>2015-03</date><risdate>2015</risdate><volume>76</volume><spage>50</spage><epage>58</epage><pages>50-58</pages><issn>0098-3004</issn><eissn>1873-7803</eissn><abstract>Due to an expected increase in geological voxel model data-flow and user demands, the development of improved quality control for such models is crucial. This study explores the potential of a new type of quality control that improves the detection of errors by just using gaze behavior of 12 geological experts. Gaze is used as input for an attention model that results in ‘attended areas’ on sliced representations of part of a geological voxel model. We compared attended areas to errors as manually marked by the experts. We found a clear match between manually marked errors and attended areas as determined using gaze. We also found that a large proportion of this match is reached within a small amount of total viewing time. •We explored the potential of a new type of quality control of geological voxel models based on gaze of 12 experts.•We found a clear match between manually marked errors and attended areas as determined using gaze.•We also found that a large proportion of this match is reached within a small amount of total viewing time.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.cageo.2014.11.011</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0098-3004
ispartof Computers & geosciences, 2015-03, Vol.76, p.50-58
issn 0098-3004
1873-7803
language eng
recordid cdi_proquest_miscellaneous_1677985080
source ScienceDirect Journals (5 years ago - present)
subjects Attention model
Computer simulation
Demand
Error analysis
Error detection
Errors
Gaze
Geological voxel model
Geology
Mathematical models
Quality control
Representations
title Quality control of geological voxel models using experts' gaze
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T01%3A51%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Quality%20control%20of%20geological%20voxel%20models%20using%20experts'%20gaze&rft.jtitle=Computers%20&%20geosciences&rft.au=van%20Maanen,%20Peter-Paul&rft.date=2015-03&rft.volume=76&rft.spage=50&rft.epage=58&rft.pages=50-58&rft.issn=0098-3004&rft.eissn=1873-7803&rft_id=info:doi/10.1016/j.cageo.2014.11.011&rft_dat=%3Cproquest_cross%3E1677985080%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1677985080&rft_id=info:pmid/&rft_els_id=S0098300414002787&rfr_iscdi=true