US 12,306,878 B1
Phased script analysis for an extended reality environment
Ethan Fieldman, Gainesville, FL (US)
Assigned to Curio XR (VR EDU), Gainesville, FL (US)
Filed by Curio XR (VR EDU), Gainesville, FL (US)
Filed on May 21, 2024, as Appl. No. 18/670,392.
Application 18/670,392 is a continuation in part of application No. 18/594,311, filed on Mar. 4, 2024.
Int. Cl. G06F 16/9038 (2019.01); G06T 11/00 (2006.01); G09B 7/02 (2006.01)
CPC G06F 16/9038 (2019.01) [G06T 11/00 (2013.01); G09B 7/02 (2013.01)] 21 Claims
OG exemplary drawing
 
11. A system comprising:
at least one memory storing instructions;
at least one processor configured to execute the instructions to perform operations for generating prompts based on a phased script in an extended reality environment, the operations comprising:
receiving a query from a user of the extended reality environment, the query associated with a topic in the phased script, wherein the phased script comprises a pre-planned dialog configured to be read by a virtual speaker in the extended reality environment;
identifying at least one extended reality component associated with the extended reality environment as relating to the query, the at least one extended reality component comprising at least one of an object or a recording;
identifying a section of the phased script from a plurality of sections as associated with the topic, wherein the plurality of sections are associated with respective topics;
generating a prompt based on the query, the at least one extended reality component, and the section of the phased script;
transmitting the prompt to an artificial intelligence model;
generating, by the artificial intelligence model, answer data, wherein generating the answer data comprises:
selecting, by the artificial intelligence model, a data domain from a plurality of data domains, wherein each of the plurality of data domain comprise a category of data associated with the extended reality environment;
applying weights to data received in the prompt according to the selected data domain to generate the answer data; and
evaluating the answer data against a confidence threshold;
in response to the transmitted prompt, receiving the answer data from the artificial intelligence model; and
based on the received answer data, generating content in the extended reality environment.