US 11,810,476 B2
Updating a virtual reality environment based on portrayal evaluation
Matthew Bramlet, Peoria, IL (US); Justin Douglas Drawz, Chicago, IL (US); Steven J. Garrou, Wilmette, IL (US); Joseph Thomas Tieu, Tulsa, OK (US); and Gary W. Grube, Barrington Hills, IL (US)
Assigned to Enduvo, Inc., Peoria, IL (US)
Filed by Enduvo, Inc., Peoria, IL (US)
Filed on Nov. 7, 2022, as Appl. No. 17/982,202.
Application 17/982,202 is a continuation of application No. 16/927,595, filed on Jul. 13, 2020, granted, now 11,514,806.
Application 16/927,595 is a continuation in part of application No. 16/888,928, filed on Jun. 1, 2020.
Claims priority of provisional application 62/858,647, filed on Jun. 7, 2019.
Prior Publication US 2023/0056078 A1, Feb. 23, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G09B 7/00 (2006.01); G09B 7/02 (2006.01); G09B 7/06 (2006.01)
CPC G09B 7/00 (2013.01) [G09B 7/02 (2013.01); G09B 7/06 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method of using a computing system, the method comprises:
detecting, by a computing entity of the computing system, an illustrative asset that is common to a first set of assets and a second sets of assets, wherein the first set of assets represents a first learning object that includes a first set of bullet-points for a first piece of information regarding a topic, wherein the second set of assets represents a second learning object that includes a second set of bullet-points for a second piece of information regarding the topic;
rendering, by the computing entity, a three-dimensional (3-D) model of the illustrative asset and a three-dimensional (3-D) model of the first set of assets in accordance with an illustration approach and with regards to the first set of knowledge bullet-points to transform the first set of knowledge bullet-points into 3-D frames of a first descriptive asset using the illustration approach, wherein the first descriptive asset represents the first learning object;
obtaining, by the computing entity, an evaluation of the first descriptive asset based on a first assessment response associated with a portrayal of the first descriptive asset;
modifying, by the computing entity, the illustration approach based on the evaluation of the first descriptive asset to produce an updated illustration approach; and
rendering, by the computing entity, the 3-D model of the illustrative asset and a 3-D model of the second set of assets in accordance with the updated illustration approach and with regards to the second set of knowledge bullet-points to transform the second set of knowledge bullet-points into 3-D frames of a second descriptive asset using the updated illustration approach, wherein the second descriptive asset represents the second learning object.