Abstract: Methods, systems, and non-transitory machine-readable mediums for ranking on an absolute scale include displaying, on an electronic display, a first handle, a second handle, and an interactor, determining a value of the first handle and a value of the second handle based on their respective positions on the interactor, in response to a user dragging the first and second handles on the interactor, and determining a rank of the first and second handles based on the values of the first and second handles, in response to the user dragging the first and second handles on the interactor.

Abstract: Systems and methods for dynamically filtering choices include 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 a 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.

Abstract: Methods, systems, and non-transitory machine-readable mediums for ranking on an absolute scale include displaying, on an electronic display, a first handle, a second handle, and an interactor, determining a value of the first handle and a value of the second handle based on their respective positions on the interactor, in response to a user dragging the first and second handles on the interactor, and determining a rank of the first and second handles based on the values of the first and second handles, in response to the user dragging the first and second handles on the interactor.