Fig. 6.

(A) The mean estimate, $\mu$, given as a function of the number of dots foveated, $N_{foveal}$; the number of dots not foveated, $N_{peripheral}$; the percent of screen area foveated, $A_{foveal}$; the percent of screen area not foveated, $A_{peripheral}$; and the number of dots foveated more than once, $N_{double}$. Each of these has a corresponding parameter quantifying its contribution to the estimate $\mu$. (B) Parameters ${\mathrm{\beta }}_{foveal}$ and ${\mathrm{\beta }}_{peripheral}$ capture the foveal and peripheral contribution to the accumulated count. (C) Parameters ${\gamma }_{foveal}$ and ${\gamma }_{peripheral}$ capture the degree to which the accumulated count is normalized by the percent of screen for area foveated ($A_{foveal}$) or peripheral ($A_{peripheral}$). (D) A visualization of how each factor contributes to $\mu$ over time. As exposure time increases, the average proportion of dots foveated increases, leading to differences in the expected contribution of each factor to the mean estimate.