Personalized virtual reality content branch prediction

A method for content branch selection, the method comprising:

• receiving user data and content data from a plurality of users, the user data and content data provided from a plurality of devices, the user data collected while the content data is displayed by the plurality of devices, and the user data comprising one of:
• a breathing pattern, heart rate, brainwave pattern, eye dilation, eye movement, geo fence data, ambient lighting data, user motion, facial recognition, facial expression, user agility, hand-eye coordination data, key words, and audio cues;
• classifying a physical state with a response classifier for each of the plurality of users based on the user data and the content data, wherein the response classifier is trained using the user data and content data;
• identifying personalization parameters for each of the plurality of users;
• identifying content to present to the plurality of users, including a first user and a second user;
• determining, using the response classifier, a first amount of user movement and a first rate of changes of the identified content for the first user based on a physical state of the first user and the identified content;
• modifying the identified content with a first modification based on the first amount of user movement and the first rate of changes of the identified content for the first user and personalization parameters for the first user;
• determining, using the response classifier, a second amount of user movement and a second rate of changes of the identified content for the second user based on a physical state of the second user and the identified content;
• modifying the identified content with a second, different, modification based on the second amount of user movement and the second rate of changes of the identified content for the second user and personalization parameters for the second user;
• sending the identified content with the first modification to the first user;
• and sending the identified content with the second modification to the second user.

At least one non-transitory computer-readable medium, including instructions, which when executed by a machine, cause the machine to perform operations:

• receiving user data and content data from a plurality of users, the user data and content data provided from a plurality of devices, the user data collected while the content data is displayed by the plurality of devices, and the user data comprising one of:
• a breathing pattern, heart rate, brainwave pattern, eye dilation, eye movement, geo fence data, ambient lighting data, user motion, facial recognition, facial expression, user agility, hand-eye coordination data, key words, and audio cues;
• classifying a physical state with a response classifier for each of the plurality of users based on the user data and the content data, wherein the response classifier is trained using the user data and content data;
• identifying personalization parameters for each of the plurality of users;
• identifying content to present to the plurality of users, including a first user and a second user;
• determining, using the response classifier, a first amount of user movement and a first rate of changes of the identified content for the first user based on a physical state of the first user and the identified content;
• modifying the identified content with a first modification based on the first amount of user movement and the first rate of changes of the identified content for the first user and personalization parameters for the first user;
• determining, using the response classifier, a second amount of user movement and a second rate of changes of the identified content for the second user based on a physical state of the second user and the identified content;
• modifying the identified content with a second, different, modification based on the second amount of user movement and the second rate of changes of the identified content for the second user and personalization parameters for the second user;
• sending the identified content with the first modification to the first user;
• and sending the identified content with the second modification to the second user.

An apparatus for content branch selection, the apparatus comprising:

• means for receiving user data and content data from a plurality of users, the user data and content data provided from a plurality of devices, the user data collected while the content data is displayed by the plurality of devices, and the user data comprising one of:
• a breathing pattern, heart rate, brainwave pattern, eye dilation, eye movement, geo fence data, ambient lighting data, user motion, facial recognition, facial expression, user agility, hand-eye coordination data, key words, and audio cues;
• means for classifying a physical state with a response classifier for each of the plurality of users based on the user data and the content data, wherein the response classifier is trained using the user data and content data;
• means for identifying personalization parameters for each of the plurality of users;
• means for identifying content to present to the plurality of users, including a first user and a second user;
• means for determining, using the response classifier, a first amount of user movement and a first rate of changes of the identified content for the first user based on a physical state of the first user and the identified content;
• means for modifying the identified content with a first modification based on the first amount of user movement and the first rate of changes of the identified content for the first user and personalization parameters for the first user;
• means for determining, using the response classifier, a second amount of user movement and a second rate of changes of the identified content for the second user based on a physical state of the second user and the identified content;
• means for modifying the identified content with a second, different, modification based on the second amount of user movement and the second rate of changes of the identified content for the second user and personalization parameters for the second user;
• means for sending the identified content with the first modification to the first user;
• and means for sending the identified content with the second modification to the second user.