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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/77530
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dc.contributor.authorHanton, K.-
dc.contributor.authorSunde, J.-
dc.contributor.authorButavicius, M.-
dc.contributor.authorJain, L.-
dc.contributor.authorBurns, N.-
dc.date.issued2012-
dc.identifier.citationAgent and Multi-Agent Systems: technologies and applications, 6th KES International Conference, KES-AMSTA 2012,Dubrovnik, Croatia, June 25-27, 2012: Proceedings / Gordan Jezic, Mario Kusek, Ngoc-Thanh Nguyen, Robert J. Howlett, Lakhmi C. Jain (eds.): pp.406-413-
dc.identifier.isbn9783642309465-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://hdl.handle.net/2440/77530-
dc.description.abstractA methodology is presented for the assessment of human operator performance in a detection and identification task, using two sets of infrared images of natural outdoor scenes with everyday objects used as targets. It includes measures of effectiveness such as operator detection rate, identification rate, false alarm rate, response time, confidence levels and image quality ratings. This robust methodology could be used in the evaluation of any image improvement technique or to evaluate different imaging techniques or technologies.-
dc.description.statementofresponsibilityKatherine Hanton, Jadranka Sunde, Marcus Butavicius, Lakhmi C. Jain and Nicholas Burns-
dc.language.isoen-
dc.publisherSpringer Berlin-
dc.relation.ispartofseriesLecture Notes in Computer Science; 7327-
dc.rights© Springer-Verlag Berlin Heidelberg 2012-
dc.source.urihttp://dx.doi.org/10.1007/978-3-642-30947-2_45-
dc.titleHow to assess human visual performance on an operational task-
dc.typeConference paper-
dc.contributor.conferenceKES International Conference (6th : 2012 : Dubrovnik, Croatia)-
dc.identifier.doi10.1007/978-3-642-30947-2_45-
dc.publisher.placeHeidelberg-
pubs.publication-statusPublished-
dc.identifier.orcidBurns, N. [0000-0003-3456-6734]-
Appears in Collections:Aurora harvest 4
Psychology publications

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