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Proceedings Paper

Discover common properties of human observers' visual search and mathematical observers' scanning PART I: theory and conjecture
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Paper Abstract

There is a lack of consensus in measuring observer performance in search tasks. To pursue a consensus, we set our goal as to obtain metrics that are practical, meaningful and objective. We consider a metric practical if it can be implemented to measure human and computer observers’ performance. To be meaningful, we propose to discover metrics that reflect the intrinsic properties of search observers. Thus, the meaningfulness of the metrics is ensured by the discovered properties being intrinsic. We set our success criteria as that the discovered properties can make verifiable predications. Thus the objectivity of the metrics is ensured by their prediction ability. The goal of this work is to present a theory and a conjecture toward two intrinsic properties of search observers: rationality in classification as measured by the location-known-exactly ROC curve and location uncertainty as measured by the effective set size. These two properties are used to develop search models in both single-response and free-response search tasks. To confirm whether these properties are “intrinsic”, in a companion paper, we investigate their ability in predicting search performance of both human and scanning channelized Hotelling observers.

Paper Details

Date Published: 11 March 2014
PDF: 11 pages
Proc. SPIE 9037, Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, 903712 (11 March 2014); doi: 10.1117/12.2043318
Show Author Affiliations
Xin He, U.S. Food and Drug Administration (United States)
Frank Samuelson, U.S. Food and Drug Administration (United States)
Rongping Zeng, U.S. Food and Drug Administration (United States)
Berkman Sahiner, U.S. Food and Drug Administration (United States)


Published in SPIE Proceedings Vol. 9037:
Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment
Claudia R. Mello-Thoms; Matthew A. Kupinski, Editor(s)

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