Systems and Methods for AI Driven Generation of Content With Language-based Attunement

A system comprising:

• a processor in communication with a non-transitory computer readable medium having software instructions stored thereon, wherein the processor, upon execution of the software instructions, is further configured to:
• receive, via a computing device, user input data of user communications during a period of time;
• input the input data into at least one natural language understanding model to produce language recognition data indicative of meaning, intent and sentiment;
• determine at least one current emotional complex signature associated with user reactions during a current emotional state of the user based at least in part on the language recognition data and at least one time-varying speech emotion metric;
• wherein the at least one time-varying language emotion metric is determined by:
• determining, by the processor, the at least one time-varying language emotion metric throughout the period of time based at least in part on the language recognition data;
• determine a high amplitude-high confidence interaction to indicate at least one changed emotional state where a magnitude of the at least one current emotional complex signature exceeds a predetermined threshold;
• and
• present, via at least one output device, a virtual representation of a responder to the user in response to the at least one changed emotional state, the virtual representation being configured to exhibit an emotional state responsive to the at least one changed emotional state of the user.

A non-transitory computer-readable medium comprising software instructions configured to cause at least one processor to perform steps comprising:

• at least one processor in communication with at least one non-transitory computer-readable medium having software instructions stored thereon, wherein the software instructions are configured, upon execution, to cause the at least one processor to perform steps comprising:
• receive, via a computing device, user input data of user communications during a period of time;
• input the input data into at least one natural language understanding model to produce language recognition data indicative of meaning, intent and sentiment;
• determine at least one current emotional complex signature associated with user reactions during a current emotional state of the user based at least in part on the language recognition data and at least one time-varying speech emotion metric;
• wherein the at least one time-varying language emotion metric is determined by:
• determining, by the processor, the at least one time-varying language emotion metric throughout the period of time based at least in part on the language recognition data;
• determine a high amplitude-high confidence interaction to indicate at least one changed emotional state where a magnitude of the at least one current emotional complex signature exceeds a predetermined threshold;
• and
• present, via at least one output device, a virtual representation of a responder to the user in response to the at least one changed emotional state, the virtual representation being configured to exhibit an emotional state responsive to the at least one changed emotional state of the user.