Systems and methods for dynamic choice filtering

A system for dynamically filtering choices comprising:

• a processor;
• a memory module communicatively coupled to the processor;
• an indecisiveness detector module communicatively coupled to the processor;
• a choice identifier module communicatively coupled to the processor;
• a decision making model communicatively coupled to the processor;
• and
• a set of machine-readable instructions stored on the memory module that, when executed by the processor, cause the processor to perform operations comprising:
• identifying, with the indecisiveness detector module, a state of a user;
• determining, with the indecisiveness detector module, whether the state of the user includes an indecisive behavior;
• identifying, with the choice identifier module, a state of an environment of the user;
• identifying, with the choice identifier module, a set of available choices from the state of the environment;
• receiving, with the processor, a set of past choices and a set of past user decisions relating to the set of past choices;
• and
• generating, with the decision making model, a predicted choice from the set of available choices based on the set of past choices and the set of past user decisions in response to determining that the state of the user includes an indecisive behavior.

A non-transitory machine-readable medium comprising machine-readable instructions that, when executed by a processor, cause the processor to perform operations comprising:

• identifying, with an indecisiveness detector module, a state of a user;
• determining, with the indecisiveness detector module, whether the state of the user includes an indecisive behavior;
• identifying, with a choice identifier module, a state of an environment of the user;
• identifying, with the choice identifier module, a set of available choices from the state of the environment;
• receiving, with the processor, a set of past choices and a set of past user decisions relating to the set of past choices;
• and
• generating, with a decision making model, a predicted choice from the set of available choices based on the set of past choices and the set of past user decisions in response to determining that the state of the user includes an indecisive behavior.