Systems and methods for receiving various input data, processing said input data, and utilizing artificial emotional intelligence to analyze said input data to return calculated response stimuli are provided. Various electronic devices may be utilized to acquire input data related to a specific user, a group of users, or environments. This input data, which may comprise tone of voice, facial expressions, social media profiles, and surrounding environmental data, may be compared with past data related to a certain user, group of users, or environment. The systems and methods herein may employ artificial emotional intelligence to evaluate the aggregated data and provide a response stimulus to a user or group of users. The response stimulus may be in the form of uplifting/encouraging music, quotes, pictures, jokes, suggestions, etc. The purpose of providing the response stimuli is to significantly increase the productivity of meetings, conversations, and other interactions across electronic devices.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system comprising: at least one processing unit; and at least one memory encoding computer executable instructions that, when executed by the at least one processing unit, causes the at least one processing unit to perform a method comprising: receiving input data, wherein the input data is related to a conversation between at least a first participant and a second participant; associating at least a first portion of input data with at least the first participant; processing the input data, wherein processing the input data comprises determining a response stimulus for the first participant based at least upon analyzing the first portion of input data according to one or more rules; providing the response stimulus to at least the first participant; and storing the input data and the response stimulus. 2. The system of claim 1, wherein receiving the input data comprises at least one of: receiving data from at least one of the first and second participants during said conversation; receiving environment data; and receiving data from at least one electronic device associated with one of the first and second participants. 3. The system of claim 2, wherein the input data comprises at least one of: biometric data, wherein the biometric data comprises at least one of heart rate, heart rate variability, and galvanic skin response; microphone data, wherein the microphone data comprises at least one of voice prosody, speech content, and other audio content; visual data, wherein the visual data comprises at least one of facial expressions and body expressions; textual data, wherein the textual data relates to the process of deriving high-quality information from text through the devising of patterns and trends through means such as statistical pattern learning; participant actions, wherein the participant actions relate to a manner in which a participant is interacting with an electronic device or component; participant role, wherein the participant role relates to the status or rank of at least the first participant and second participant; patterns and context, wherein the patterns and context comprises at least one of prior data regarding the participants to the conversation; and solicited feedback from participants to the conversation. 4. The system of claim 2, wherein the environment data comprises: characteristics of an educational environment, wherein the characteristics may comprise at least one of a classroom, a lecture hall, an auditorium, a chalkboard, desks, a projector, and other educationally-related materials. 5. The system of claim 2, wherein the electronic device comprises at least one of: a wearable device; a mobile phone; a conferencing device; a tablet; and a personal computer. 6. The system of claim 1, wherein processing the input data comprises at least one of: converting raw input data to machine-readable data; manipulating the machine-readable data to extract pertinent data; comparing the pertinent data with previously stored data; and saving said pertinent data. 7. The system of claim 6, wherein comparing the pertinent data with previously stored data comprises: generating a result based on the comparison of said pertinent data with said previously stored data, wherein the determination of the response stimulus is based at least in part on the result. 8. The system of claim 1, wherein providing the response stimulus comprises: sending a private message to the first participant in the conversation, wherein the private message comprises at least one of text, pictures, audio output, and video output; and sending a public message to at least the first and second participants in the conversation, wherein the public message comprises at least one of text, pictures, audio output, and video output. 9. The system of claim 1, wherein providing the response stimulus comprises: sending a single response stimulus; and sending multiple response stimuli. 10. The system of claim 1, wherein the method further comprises: at a later time, analyzing the stored input data and response stimulus update the one or more rules. 11. The system of claim 10, wherein the response stimulus comprises at least one of: a text message; an audio message; an image; and a video. 12. The system of claim 1, wherein the method further comprises: using at least one of the input data or environment data to activate at least one or more data-retrieval sensors connected to a device; and using at least one of the input data or environment data to turn off at least one of more data-retrieval sensors connected to a device. 13. The system of claim 1, wherein providing the response stimulus to at least the first participant comprises sending the response stimulus to a device associated with the first participant or the second. 14. A method for maintaining a searchable content repository, the method comprising: aggregating data associated with a plurality of participants and conversations; receiving query through a search interface for information about at least a first participant in a conversation; and in response to receiving the query, providing data associated with the first participant in the conversation, wherein a response stimulus is bases at least in part upon the data associated with the first participant in the conversation. 15. The method of claim 14, wherein said data associated with the first participant comprises at least one of: a mood the first participant in the conversation; the total talking time during the conversation for the first participant; and the emotional sensitivity of the first participant. 16. The method of claim 12, further comprising, in response to the query, providing information about one or more additional participants in the conversation. 17. A computer storage medium encoding computer executable instructions that when executed by the at least one processor, perform a method comprising: receiving input data, wherein the input data is related to a conversation between at least a first participant and a second participant; associating at least a first portion of input data with at least the first participant; processing the input data, wherein processing the input data comprises determining a response stimulus for the first participant based at least upon the first portion of input data; providing the response stimulus to at least the first participant; and storing data, wherein the data comprises previously-stored data, at least one of the input data, and the response stimulus. 18. The computer storage medium of claim 15, wherein the response stimulus comprises at least one of: a text message; an audio message; an image; and a video. 19. The computer storage medium of claim 17, the method further comprising: setting one or more permissions on said aggregate data, wherein the one or more permissions limit access to the aggregate data. 20. The computer storage medium of claim 19, the method further comprising: allowing full read and write access to said aggregate data; allowing read access to said aggregate data; and allowing no access to said aggregate data.