How to assess human visual performance on an operational task

Authors:
Katherine Hanton;Jadranka Sunde;Marcus Butavicius;Lakhmi C. Jain;Nicholas Burns
Affiliations:
School of Electrical and Information Engineering, University of South Australia, Adelaide, SA, Australia;Defence Science and Technology Organisation, Edinburgh, SA, Australia;School of Psychology, University of Adelaide, SA, Australia;School of Electrical and Information Engineering, University of South Australia, Adelaide, SA, Australia;School of Psychology, University of Adelaide, SA, Australia
Venue:
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
Year:
2012

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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.