1. A system configured to utilize predicted attention levels to estimate affective response to a token instance of interest, comprising: a memory configured to store: a total affective response of a user to token instances to which the user was exposed and descriptions of first and second token instances, from among the token instances; wherein the first and second token instances are visual token instances that have overlapping instantiation periods, and each of the first and second token instances corresponds to at least one of the following: an object, and a character; a processor configured to generate feature values representing attributes of the first and second token instances and utilize a model for predicting interest in token instances to calculate, based on the feature values, first and second attention levels in the first and second token instances, respectively; wherein the first attention level is greater than the second attention level; the processor is further configured to select, based on the first and second attention levels, the first token instance as the token instance of interest, and to estimate the affective response to the token instance of interest from the total affective response.