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Optimization and performance of single-cue models. (a) Cue-specific sensitivities used as optimization parameters. Higher values denote steeper mapping functions. (b) Simulation errors as the RMS difference between the actual and simulated externalization ratings. Per experiment, the smallest error indicates the most informative cue.
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