Quality control of geological voxel models using experts' gaze

Peter-Paul van Maanen; Freek S. Busschers; Anne-Marie Brouwer; Michiel J. van der Meulen; Jan B.F. van Erp

doi:10.1016/j.cageo.2014.11.011

Quality control of geological voxel models using experts' gaze

Peter-Paul van Maanen, Freek S. Busschers, Anne-Marie Brouwer, Michiel J. van der Meulen, Jan B.F. van Erp

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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.

Original language	English
Pages (from-to)	50-58
Number of pages	9
Journal	Computers & geosciences
Volume	76
DOIs	https://doi.org/10.1016/j.cageo.2014.11.011
Publication status	Published - Mar 2015

Keywords

Quality Control
Attention model
Geological voxel model
Gaze
n/a OA procedure

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10.1016/j.cageo.2014.11.011

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title = "Quality control of geological voxel models using experts' gaze",

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 {\textquoteleft}attended areas{\textquoteright} 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.",

keywords = "Quality Control, Attention model, Geological voxel model, Gaze, n/a OA procedure",

author = "{van Maanen}, Peter-Paul and Busschers, {Freek S.} and Anne-Marie Brouwer and {van der Meulen}, {Michiel J.} and {van Erp}, {Jan B.F.}",

year = "2015",

month = mar,

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language = "English",

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T1 - Quality control of geological voxel models using experts' gaze

AU - van Maanen, Peter-Paul

AU - Busschers, Freek S.

AU - Brouwer, Anne-Marie

AU - van der Meulen, Michiel J.

AU - van Erp, Jan B.F.

PY - 2015/3

Y1 - 2015/3

N2 - 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.

AB - 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.

KW - Quality Control

KW - Attention model

KW - Geological voxel model

KW - Gaze

KW - n/a OA procedure

U2 - 10.1016/j.cageo.2014.11.011

DO - 10.1016/j.cageo.2014.11.011

M3 - Article

SN - 0098-3004

VL - 76

SP - 50

EP - 58

JO - Computers & geosciences

JF - Computers & geosciences

ER -

Quality control of geological voxel models using experts' gaze

Abstract

Keywords

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