SYSTEMS AND METHODS FOR CONTENT TARGETING USING EMOTIONAL CONTEXT INFORMATION
This disclosure relates to systems and methods that use contextual information relating to a user's emotions and/or moods in connection with information targeting and content tagging. In some embodiments, user moods and/or emotional states may be determined and/or otherwise inferred using certain contextual information collected using one or more sensors included in devices associated with a user. Obtaining information relating to a user's mood and/or emotional state may allow for, among other things, more efficient targeting of content, search results, and/or other information that is well matched to a user's interests at a given point in time. In further embodiments, information relating to a user's mood and/or emotional state may be used to tag and/or otherwise associate content with information relating to the user's mood and/or emotional state while viewing and/or capturing the content.
1 . A method performed targeting content based on a desired emotional response performed by a system comprising a processor and a non-transitory computer-readable medium storing instructions that, when executed by the processor, cause the system to perform the method, the method comprising:
receiving first emotional context information associated with a target user;
determining a first emotional state of the user based on the first emotional context information;
receiving an indication of a target emotional state, the target emotional state being different than the first emotional state;
identifying content based on the target emotional state; and
rendering the identified content to the target user.
2 . The method of claim 1 , wherein the method further comprises:
receiving, after rendering the identified content to the target user, second emotional context information associated with the target user;
determining a second emotional state of the user based on the emotional context information; and
comparing the second emotional state with the target emotional state.
3 . The method of claim 2 , wherein comparing the second emotional state with the target emotional state comprises determining that the second emotional state is within a threshold degree of similarity with the target emotional state.
4 . The method of claim 3 , wherein the method further comprises:
generating an indication that target emotional state was achieved.
5 . The method of claim 1 , wherein the method further comprises:
determining a targeted emotional response based on the first emotional state and the target emotional state, and
wherein identifying the content is further based on the target emotional response.
6 . The method of claim 1 , wherein the first emotional context information comprises information obtained by one or more emotional context information sensors.
7 . The method of claim 6 , wherein the one or more emotional context information sensors comprise one or more sensors included in an environment of the target user.
8 . The method of claim 6 , wherein the one or more emotional context information sensors comprise one or more sensors associated with a device of the target user.
9 . The method of claim 6 , wherein the one or more emotional context information sensors comprise at least one of a microphone, an image camera, a video camera, a temperature sensor, a heart rate sensor, a blood pressure sensor, a temperature sensor, a perspiration level sensor, a pressure sensor, and a light sensor.
10 . The method of claim 6 , wherein the first emotional context information comprises at least one of a tone of the target user's voice, a decibel level of the target user's voice, recognized speech content of the target user's voice, facial expression recognition information, iris dilation information, heart rate information, blood pressure information, temperature information, perspiration information, user interface pressure sensor data, light sensor data, and device usage information.