Described herein are embodiments of systems, method, and computer programs for estimating affective response to a specific token instance that is in a variant of a repetitive scene. The affective response is computed based on the difference between a measured affective response of the user to the variant of the repetitive scene and a representation of measurements of affective response to other variants of the repetitive scene that do not include the specific token instance. In some examples, variants of the repetitive scene may be computer generated and represent different occurrences of playing the same game level, visiting the same region in a virtual world, or visiting the same website.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A device for estimating an affective response of a user to a specific token instance in a variant of a repetitive scene, comprising: a memory configured to receive measurements of affective response taken at multiple exposures to variants of the repetitive scene that do not include the specific token instance; the memory is further configured to receive, from a measuring device, another measurement of affective response of the user taken while the user is exposed to another variant of the repetitive scene that further includes the specific token instance; and a processor configured to estimate the affective response of the user to the specific token instance based on difference between the another measurement and a representation of the measurements. 2. The device of claim 1, wherein variants of scenes are represented by token instances, and two variants are considered variants of a repetitive scene if at least 50% of their token instances are essentially the same. 3. The device of claim 1, wherein two variants are considered variants of a repetitive scene if low level features derived from the two variants are similar; and wherein the cosine between vector representation of two similar scenes is at least 0.3. 4. The device of claim 1, wherein the another variant further comprises a token instance having an overlapping instantiation period with the specific token instance. 5. The device of claim 1, wherein the representation of the measurements is an average of the measurements of the affective response. 6. The device of claim 1, wherein the representation of the measurements is calculated based on the measurements of affective response utilizing a predefined formula. 7. The device of claim 1, wherein the memory is further configured to store the variants of the repetitive scene as temporal windows of token instances; and a second processor is further configured to train a prediction model for affective response of the user to variants of the repetitive scene using training data comprising the stored temporal windows of token instances and their corresponding measurements of affective responses. 8. The device of claim 7, wherein the processor is further configured to obtain the representation of the measurements by providing the prediction model with a temporal window of token instances corresponding to a variant of the repetitive scene, which does not include the specific token instance. 9. The device of claim 1, wherein the another measurement of affective response is derived from multiple measurements of affective response of the user taken while the user was exposed to variants of the repetitive scene that include the specific token instance. 10. The device of claim 1, wherein the measurements of affective response taken at multiple exposures to variants of the repetitive scene are measurements of affective response of the user taken at multiple exposures of the user to variants of the repetitive scene. 11. The device of claim 1, wherein most of the measurements of affective response taken at multiple exposures to variants of the repetitive scene are measurements of affective response of other users. 12. The device of claim 1, wherein the variants of the repetitive scene and the another variant are generated by a computer game, and the another variant has the same plot as the variants of the repetitive scenes. 13. A method for estimating an affective response of a user to a specific token instance in a variant of a repetitive scene, comprising: receiving measurements of affective response taken at multiple exposures to variants of the repetitive scene that do not include the specific token instance; receiving another measurement of affective response of the user taken while the user is exposed to another variant of the repetitive scene that further includes the specific token instance; and estimating the affective response of the user to the specific token instance based on difference between the another measurement and a representation of the measurements. 14. The method of claim 13, further comprising calculating the representation of the measurements based on the measurements of affective response utilizing a predefined formula. 15. The method of claim 13, further comprising storing the variants of the repetitive scene as temporal windows of token instances and training a prediction model for affective response of the user to variants of the repetitive scene using training data comprising the stored temporal windows of token instances and their corresponding measurements of affective response. 16. The method of claim 13, further comprising deriving the another measurement of affective response from multiple measurements of affective response of the user taken while the user was exposed to variants of the repetitive scene that include the specific token instance. 17. A non-transitory computer-readable medium for use in a computer to estimate an affective response of a user to a specific token instance in a variant of a repetitive scene; the computer comprising a processor, and the non-transitory computer-readable medium comprising: program code for receiving measurements of affective response taken at multiple exposures to variants of the repetitive scene that do not include the specific token instance; program code for receiving another measurement of affective response of the user taken while the user is exposed to another variant of the repetitive scene that further includes the specific token instance; and program code for estimating the affective response of the user to the specific token instance based on difference between the another measurement and a representation of the measurements. 18. The non-transitory computer-readable medium of claim 17, further comprising program code for calculating the representation of the measurements based on the measurements of affective response utilizing a predefined formula. 19. The non-transitory computer-readable medium of claim 17, further comprising program code for deriving the another measurement of affective response from multiple measurements of affective response of the user taken while the user was exposed to variants of the repetitive scene that include the specific token instance. 20. The non-transitory computer-readable medium of claim 17, further comprising program code for storing the variants of the repetitive scene as temporal windows of token instances and program code for training a prediction model for affective response of the user to variants of the repetitive scene using training data comprising the stored temporal windows of token instances and their corresponding measurements of affective response.