Goal-driven human-machine interaction architecture, and systems and methods of use thereof

One or more non-transitory, computer-readable storage media embodying software that is operable when executed to:

• assess, using an artificial reality device, a semantic-based query for a user, wherein the semantic-based query includes a plurality of user goals associated with an intention of the user;
• assess, using a server computer and the semantic-based query for the user, a plurality of probability values associated with a plurality of active digital actions and a plurality of first goal probability values associated with the plurality of active digital actions;
• generate a decision engine to determine a user friction value and a plurality of second goal probability values associated with the plurality of user goals using the plurality of first goal probability values and the plurality of probability values associated with the plurality of active digital actions;
• determine, using the decision engine, the user friction value and the plurality of second goal probability values associated with the plurality of user goals using the plurality of first goal probability values and the plurality of probability values associated with the plurality of active digital actions;
• determine a plan of digital actions based on the user friction value, the plurality of second goal probability values, and the plurality of user goals;
• and
• in response to determining the user friction value exceeds a predetermined threshold, generate a query to the artificial reality device to adjust the plurality of active digital actions based on the semantic-based query for the user.

A system comprising:

• one or more processors;
• and
• one or more non-transitory, computer-readable storage media coupled to one or more of the processors and comprising instructions operable when executed by one or more of the processors to cause the system to:
• assess, using an artificial reality device, a semantic-based query for a user, wherein the semantic-based query includes a plurality of user goals associated with an intention of the user;
• assess, using a server computer and the semantic-based query for the user, a plurality of probability values associated with a plurality of active digital actions and a plurality of first goal probability values associated with the plurality of active digital actions;
• generate a decision engine to determine a user friction value and a plurality of second goal probability values associated with the plurality of user goals using the plurality of first goal probability values and the plurality of probability values associated with the plurality of active digital actions;
• determine, using the decision engine, the user friction value and the plurality of second goal probability values associated with the plurality of user goals using the plurality of first goal probability values and the plurality of probability values associated with the plurality of active digital actions;
• determine a plan of digital actions based on the user friction value, the plurality of second goal probability values, and the plurality of user goals;
• and
• in response to determining the user friction value exceeds a predetermined threshold, generate a query to the artificial reality device to adjust the plurality of active digital actions based on the semantic-based query for the user.