Abstract
This paper presents detailed derivations of an unbiased estimate for an observer template (a set of linear pixel weights an observer uses to perform a visual task) in two-alternative forced-choice experiments. Two derivations of the covariance matrix associated with the error present in this estimation method are also derived and compared in human-observer data.
Acknowledgements
The authors wish to thank Francois Bochud for helpful discussions. Support: NIH RO1-53455
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Abbey, C.K., Eckstein, M.P. (2001). Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments. In: Insana, M.F., Leahy, R.M. (eds) Information Processing in Medical Imaging. IPMI 2001. Lecture Notes in Computer Science, vol 2082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45729-1_3
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DOI: https://doi.org/10.1007/3-540-45729-1_3
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