Fig 6. Communication cost trade-off within subjects.

(a) Correlations between all subject’s $C_{\lambda }^{trans}$ across all values of λ. Positive correlations are colored in red, negative correlations are colored in blue. (b) Eight subject’s $C_{\lambda }^{trans}$ and $C_{\lambda }^{info}$ curves after normalization with respect to the $\max \left(C_{\lambda }^{trans}\right)$ and $\max \left(C_{\lambda }^{info}\right)$, respectively. Notice how some subject’s $C_{\lambda }^{trans}$ curves decay faster than others, and how some subject’s $C_{\lambda }^{info}$ curves grow faster than others. (c) Scatter plot of the computed areas under the normalized $C_{\lambda }^{trans}$ and $C_{\lambda }^{info}$ curves, sowing a trade-off between the decay of $C_{\lambda }^{trans}$ and the growth of $C_{\lambda }^{info}$ (the correlation between $\mathrm{A}\left(C_{\lambda }^{trans}\right)$ and $\mathrm{A}\left(C_{\lambda }^{info}\right)$ is r = -0.74, p < 0.001).