Print Email Facebook Twitter Quality control of geological voxel models using experts' gaze Title Quality control of geological voxel models using experts' gaze Author van Maanen, P.P. Busschers, F.S. Brouwer, A.M. van der Meulen, M.J. van Erp, J.B.F. Publication year 2015 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. Subject Human PerformancesPCS - Perceptual and Cognitive SystemsELSS - Earth, Life and Social SciencesEnergyAttention modelGazeGeological voxel modelQuality controlData flow analysisErrorsGeologyQuality assuranceAttention modelGazeGaze behaviorUser demandsVoxel modelsQuality controldetection methoderror analysisgeologyimage analysismodel testquality control To reference this document use: http://resolver.tudelft.nl/uuid:2bfb6e12-d173-49f0-a14e-84d1c3e5e94f DOI https://doi.org/10.1016/j.cageo.2014.11.011 TNO identifier 522501 Publisher Elsevier Ltd ISSN 0098-3004 Source Computers and Geosciences, 76, 50-58 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.