Block randomization versus complete randomization of human perception stimuli: is there a difference?

Steve Moyer; Elizabeth R. Uhl

doi:10.1117/12.2177803

12 May 2015 Block randomization versus complete randomization of human perception stimuli: is there a difference?

Steve Moyer, Elizabeth R. Uhl

Proceedings Volume 9452, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI; 94520M (2015) https://doi.org/10.1117/12.2177803
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

For more than 50 years, the U.S. Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate (NVESD) has been studying and modeling the human visual discrimination process as it pertains to military imaging systems. In order to develop sensor performance models, human observers are trained to expert levels in the identification of military vehicles. From 1998 until 2006, the experimental stimuli were block randomized, meaning that stimuli with similar difficulty levels (for example, in terms of distance from target, blur, noise, etc.) were presented together in blocks of approximately 24 images but the order of images within the block was random. Starting in 2006, complete randomization came into vogue, meaning that difficulty could change image to image. It was thought that this would provide a more statistically robust result. In this study we investigated the impact of the two types of randomization on performance in two groups of observers matched for skill to create equivalent groups. It is hypothesized that Soldiers in the Complete Randomized condition will have to shift their decision criterion more frequently than Soldiers in the Block Randomization group and this shifting is expected to impede performance so that Soldiers in the Block Randomized group perform better.

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Steve Moyer and Elizabeth R. Uhl "Block randomization versus complete randomization of human perception stimuli: is there a difference?", Proc. SPIE 9452, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI, 94520M (12 May 2015); https://doi.org/10.1117/12.2177803

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KEYWORDS

Visual process modeling

Systems modeling

Switches

Performance modeling

Image processing

Imaging systems

Night vision

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