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24 May 1999 Signal detection in a lumpy background: effects of providing more information to the human than just raw data
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Abstract
In this paper we present a modification to the standard two- alternative forced-choice (2AFC) experiment in an attempt to help the human detect signals by providing redundant information. We call the old experiment 2AFC_RAW, and the new experiment, 2AFC_FILTER. In the 2AFC_FILTER experiment, we provide the observer with the pair of raw data images (as in 2AFC_RAW) plus filtered versions of the raw data. The thought behind this modification is that the human might benefit from generic pre-processing of the data into multiple images, each extracting different information. We defined two different 2AFC_FILTER experiments, each using Laguerre-Gauss functions as the filters. The difference between the two was their defining Gaussian envelope. We tested human performance given a variety of image classes with the 2AFC_RAW and the two 2AFC_FILTER experiments. The same raw data were used in each. We found that there was a significant human performance increase from the 2AFC_RAW to the 2AFC_FILTER experiment. It was also seen that the choice of the filters made a difference. Specifically, human performance was better when the Gaussian envelope of the Laguerre-Gauss functions matched the signal.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brandon D. Gallas and Harrison H. Barrett "Signal detection in a lumpy background: effects of providing more information to the human than just raw data", Proc. SPIE 3663, Medical Imaging 1999: Image Perception and Performance, (24 May 1999); https://doi.org/10.1117/12.349651
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