Figure 3
From: Judgments of effort exerted by others are influenced by received rewards
Multiple information sources are integrated to form a final effort rating. Two types of information are combined to derive the final effort estimation (E): Ep, the effort estimation based on performance-related sensory information (measured by amount of key presses and trial duration), and Er, the effort estimation based on reward-related information. Both estimates are also subject to noise, and will differ by some degree. Bayes optimality predicts that effort ratings will be best described by the Bayesian average model, where the influence of each signal on E is weighted by its reliability (ωp and ωr), represented by the width of the distributions (σ2p and σ2r).
