Closed loop biofeedback dynamic assessment

A method of constructing a predictive model for user behavior in a virtual environment comprising:

• determining a baseline response for each of a plurality of sensors and a user;
• building an individualized model comprising a plurality of priors generated from the baseline responses, the individualized model configured to predict a given response of the user based on a time-stamped stimulus presentation in the virtual environment;
• sampling, iteratively, new responses of the user to respective events in the virtual environment during the time-stamped stimulus presentation;
• linking each of the new responses and the respective events to an interval of time;
• and
• updating at least one of the priors of the individualized model based on linked ones of the new responses and events.

A non-transitory computer readable storage medium comprising computer executable instructions which when executed by a computer cause the computer to perform a method of constructing a predictive model for user behavior in a virtual environment, the method comprising:

• determining a baseline response for each of a plurality of sensors and a user;
• building an individualized model comprising a plurality of priors generated from the baseline responses, the individualized model configured to predict a given response of the user based on a time-stamped stimulus presentation in the virtual environment;
• sampling, iteratively, new responses of the user to respective events in the virtual environment during the time-stamped stimulus presentation;
• linking each of the new responses and the respective events to an interval of time;
• and
• updating at least one of the priors of the individualized model based on linked ones of the new responses and events.