Adaptive user interfaces

A computer program product for optimizing a user interface of a computing system using artificial intelligence, comprising:

• a non-transitory computer-readable storage medium;
• and
• computer program code, encoded on the medium, configured to cause at least one processor to perform the steps of:
• identifying a first target component of the user interface, wherein the first target component is perceptible to a user via an output device;
• identifying at least one first output feature representing a measured indicator of at least one of performance and motivation of the user;
• identifying at least one first input feature comprising at least one of:
• a first measured aspect descriptive of the user;
• and
• a first measured aspect descriptive of the user's interaction with the computing system;
• collecting data comprising a plurality of input measurements of the first input feature and a plurality of output measurements of the first output feature;
• selecting a first selected artificial intelligence algorithm to maximize the first output feature for the user, based on comparison of the plurality of input measurements and the plurality of output measurements with a plurality of candidate artificial intelligence algorithms;
• and
• applying the first selected artificial intelligence algorithm to maximize the first output feature for the user by changing the first target component.

A system for optimizing a user interface of a computing system using artificial intelligence, comprising:

• an output device, configured to output at least one target component of the user interface;
• in input device, configured to receive at least one input feature;
• at least one processor, communicatively coupled to the output device and the input device, configured to:
• identify a first target component of the user interface, wherein the first target component is perceptible to a user via the output device;
• identify at least one first output feature representing a measured indicator of at least one of performance and motivation of the user;
• identify at least one first input feature comprising at least one of:
• a first measured aspect descriptive of the user;
• and
• a first measured aspect descriptive of the user's interaction with the computing system;
• collect data comprising a plurality of input measurements of the first input feature and a plurality of output measurements of the first output feature;
• select a first selected artificial intelligence algorithm to maximize the first output feature for the user, based on comparison of the plurality of input measurements and the plurality of output measurements with a plurality of candidate artificial intelligence algorithms;
• and
• apply the first selected artificial intelligence algorithm to maximize the first output feature for the user by changing the first target component.