Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/77530
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Type: Conference paper
Title: How to assess human visual performance on an operational task
Author: Hanton, K.
Sunde, J.
Butavicius, M.
Jain, L.
Burns, N.
Citation: Agent 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
Publisher: Springer Berlin
Publisher Place: Heidelberg
Issue Date: 2012
Series/Report no.: Lecture Notes in Computer Science; 7327
ISBN: 9783642309465
ISSN: 0302-9743
1611-3349
Conference Name: KES International Conference (6th : 2012 : Dubrovnik, Croatia)
Statement of
Responsibility: 
Katherine Hanton, Jadranka Sunde, Marcus Butavicius, Lakhmi C. Jain and Nicholas Burns
Abstract: A 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.
Rights: © Springer-Verlag Berlin Heidelberg 2012
DOI: 10.1007/978-3-642-30947-2_45
Published version: http://dx.doi.org/10.1007/978-3-642-30947-2_45
Appears in Collections:Aurora harvest 4
Psychology publications

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