Systems and methods for testing and/or monitoring vision

A system for detecting a change in vision of a user, the system comprising:

• memory configured to store computer-executable instructions;
• and
• at least one computer processor configured to access memory and execute the computer-executable instructions to:
• cause an optotype to be displayed on a device of the user, the optotype oriented in a first direction;
• receive acuity results corresponding to the optotype and first user input indicative a second direction associated with the optotype;
• generate a first visual metric corresponding to the user based on the first direction, the acuity results, and one or more of a distance between the user and the device or a guessing rate;
• cause an Amsler grid to be displayed on the device;
• receive first Amsler results comprising second user input corresponding to one or more grid markings on the Amsler grid indicative of vision distortions of the user;
• train a machine learning model to generate at least one visual metric corresponding to Amsler results;
• generate a second visual metric of the user based on the Amsler results and using the machine learning model;
• and
• generate video game metrics corresponding to a video game based on the first visual metric and the second visual metric, the video game metrics corresponding to at least a difficulty level of the video game.

A method for detecting a change in vision of a user, the method comprising:

• causing an optotype to be displayed on a device of the user, the optotype oriented in a first direction;
• receiving acuity results corresponding to the optotype and first user input indicative a second direction associated with the optotype;
• generating a first visual metric corresponding to the user based on the first direction, the acuity results, and one or more of a distance between the user and the device or a guessing rate;
• causing an Amsler grid to be displayed on the device of the user;
• receiving first Amsler results comprising second user input corresponding to one or more grid markings on the Amsler grid indicative of vision distortions of the user;
• training a machine learning model to generate at least one visual metric corresponding to Amsler results;
• generating a second visual metric of the user based on the first Amsler results and using the machine learning model;
• causing a video game to be displayed on the device;
• and
• generating a third visual metric corresponding to the user based on a user's performance in the video game.

A system for detecting a change in vision of a user, the system comprising:

• memory configured to store computer-executable instructions;
• and
• at least one computer processor configured to access memory and execute the computer-executable instructions to:
• cause an optotype to be displayed on a device of the user, the optotype oriented in a first direction;
• receive acuity results corresponding to the optotype and first user input indicative a second direction associated with the optotype;
• generate a first visual metric corresponding to the user based on the first direction, the acuity results, and one or more of a distance between the user and the device or a guessing rate;
• cause an Amsler grid to be displayed on the device of the user;
• receive first Amsler results comprising second user input corresponding to one or more grid markings on the Amsler grid indicative of vision distortions of the user;
• train a machine learning model to generate at least one visual metric corresponding to Amsler results;
• generate a second visual metric of the user based on the first Amsler results and using the machine learning model;
• cause a video game to be displayed on the device;
• and
• generate a third visual metric corresponding to the user based on a user's performance in the video game.