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US 2026/0030291 A1Published application
Mood-altering music recommendation system based on emotional reactions to entertainment
OwnerJesse Boulardinventor
Life of this patent
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Abstract
A system and its corresponding method are provided for recommending media based on emotion-related feedback from a user. In one example of the system and its corresponding method, songs are assigned to a queue according to objective criteria for achieving desired emotions with the user. Songs may also be assigned to the queue based on documented similarities between various user personality profiles.
Claims21
A system for recommending media based on feedback from a user, the system comprising:
- a processor, adapted by executable instructions to generate, during or after each instance the user experiences a first media element, a first plot demonstrating the user's emotional intensity reaction to the first media element over time;
- wherein the processor is further adapted by executable instructions to generate a second plot demonstrating the user's average emotional intensity reaction over time to the first media element;
- wherein the processor is further configured to verify an intensity threshold of the user's emotional intensity reaction to the first media element over time, and update a media pool available for recommendation to include the first media element when the intensity threshold is verified, wherein verification of the intensity threshold includes confirming that a physiological response has occurred;
- and
- wherein the processor is further configured to recommend media to the user by applying cross-user similarity analysis to media pools constructed at least in part from physiological response data of a plurality of users to identify a second user having a media pool that satisfies a similarity threshold when compared to the media pool of the user, and to recommend to the user one or more media elements from the second user's media pool that are not already in the user's media pool, the one or more media elements selected to elicit a strong emotional response by the user.
2 more elements
A system for recommending media based on feedback from a user, the system comprising:
- a processor;
- a biofeedback sensor;
- wherein the biofeedback sensor is configured to detect, during presentation of a media item to a user, a biofeedback signal, and communicate the biofeedback signal to the processor;
- wherein the processor is configured to determine whether the biofeedback signal exceeds an intensity threshold associated with an intense emotional response for the user;
- wherein the processor is configured to update a pool of media available for recommendation to include the media item when the intensity threshold is exceeded;
- wherein the processor is configured to apply cross-user similarity analysis to one or more media pools of multiple users to identify one or more additional media items likely to elicit one or more strong emotional reactions for the user;
- and
- wherein the processor is configured to recommend the one or more additional media items to the user.
5 more elements
A system for mood-targeted media presentation, the system comprising:
- a processor;
- a biofeedback sensor;
- wherein the biofeedback sensor is configured to detect, during presentation of a media item to a user, a biofeedback signal, and communicate the biofeedback signal to the processor;
- wherein the processor is configured to determine whether the biofeedback signal exceeds an intensity threshold associated with an intense emotional response for the user;
- wherein the processor is configured to, when the biofeedback signal exceeds the intensity threshold, add the media item to a pool of media items labeled as exceeding the intensity threshold;
- wherein the processor is configured to apply cross-user similarity analysis to a plurality of media pools of multiple users to identify one or more additional media items likely to elicit one or more strong emotional reactions from the user, and to assign the one or more additional media items to the pool;
- wherein the processor is configured to control playback intervals of the media items in the pool to increase an intensity of one or more emotional responses to the media items in the pool;
- and
- wherein the processor is configured to present one or more media items from the media items in the pool to the user to regulate a mood state of the user.
6 more elements
A system for generating a personality profile based on media consumption, the system comprising:
- a processor;
- a biofeedback sensor;
- wherein the biofeedback sensor is configured to detect, during presentation of a media item to a user, a biofeedback signal, and communicate the biofeedback signal to the processor;
- wherein the processor is configured to apply cross-user similarity analysis to a plurality of media pools of multiple users to match a second user with the first user when the second user has similar biofeedback responses to like media items compared to the user;
- and
- wherein the processor is further configured to assign one or more personality traits of the user to the personality profile of the user based on the match and a prediction that similar biofeedback responses between the user and the second user correspond to similar emotional attributes between the user and the second user.
3 more elements
A system for predicting a user mood state, the system comprising:
- a processor;
- a biofeedback sensor;
- wherein the biofeedback sensor is configured to determine a detected biofeedback response by detecting, during presentation of a media item to a user, a biofeedback signal, and is configured to communicate the detected biofeedback response to the processor;
- wherein the processor is configured to generate an expected biofeedback response to the media item for the user based on historical response data from the user, cross-user similarity analysis to a plurality of media pools of multiple users, or both;
- wherein the processor is configured to compare the detected biofeedback response to the expected biofeedback response;
- and
- wherein the processor is configured to predict a mood state of the user based on a difference between the expected biofeedback response and the detected biofeedback response.
4 more elements
Dependencies are inferred from the claim text.