# US 2023/0056078 A1 · Updating a virtual reality environment based on portrayal evaluation

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- Number: US 2023/0056078 A1
- Document ID: US20230056078A1
- Status: Published application
- Kind: A1
- Application number: 17/982,202
- Filed: 2022-11-07
- Published: 2023-02-23
- Earliest claimed: 2019-06-07
- Assignees: Enduvo, Inc.
- Applicants: Enduvo, Inc.
- Inventors: Matthew Bramlet; Justin Douglas Drawz; Steven J. Garrou; Joseph Thomas Tieu; Gary W. Grube
- Web page: https://patentgrep.com/patent/US20230056078A1

## CPC

- G09B 7/00: Electrically-operated teaching apparatus or devices working with questions and answers (mechanically operated G09B3/00; computing arrangements G06F)
- G09B 7/08: characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question or supplying further information
- G09B 7/04: characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question or supplying a further explanation
- G09B 7/02: of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
- G09B 7/06: of the multiple-choice answer-type, i.e. where a given question is provided with a series of answers and a choice has to be made from the answers
- G09B: EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS (devices for psychotechnics or for testing reaction times A61B5/16; games, sports, amusements A63; projectors, projector screens G03B)

## Abstract

A method for generating a virtual reality environment includes detecting an illustrative asset that is common to a first set of assets and a second sets of assets. The method further includes rendering a three-dimensional (3-D) model of the illustrative asset and a 3-D model of the first set of assets using an illustration approach to produce 3-D frames of a first descriptive asset. The method further includes obtaining an evaluation of the first descriptive asset based on a first assessment response associated with a portrayal of the first descriptive asset. The method further includes modifying the illustration approach based on the evaluation to produce an updated illustration approach. The method further includes rendering the 3-D model of the illustrative asset and a 3-D model of the second set of assets using the updated illustration approach to produce 3-D frames of a second descriptive asset.

## Claims

### Claim 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.

### Claim 2 (depends on 1)

The method of claim 1 further comprises:
sending, by the computing entity, the 3-D frames of the first descriptive asset to a human interface module of the computing system.

### Claim 3 (depends on 1)

The method of claim 1 further comprises:
sending, by the computing entity, the 3-D frames of the second descriptive asset to a human interface module of the computing system.

### Claim 4 (depends on 1)

The method of claim 1 further comprises:
obtaining, by the computing entity, a second evaluation of the second descriptive asset based on a second assessment response associated with a portrayal of the second descriptive asset;
modifying, by the computing entity, the updated illustration approach based on the second evaluation of the second descriptive asset to produce a further updated illustration approach; and
rendering, by the computing entity, the 3-D model of the illustrative asset and a 3-D model of a third set of assets in accordance with the further updated illustration approach and with regards to a third set of knowledge bullet-points to transform the third set of knowledge bullet-points into 3-D frames of a third descriptive asset using the further updated illustration approach, wherein the third descriptive asset represents a third learning object.

### Claim 5 (depends on 1)

The method of claim 1, wherein the obtaining the evaluation of the first descriptive asset based on the first assessment response associated with the portrayal of the first descriptive asset comprises:
rendering the 3-D model of the illustrative asset and a 3-D model of a first assessment asset of the first learning object in accordance with the illustration approach and with regards to the first set of knowledge bullet-points to further transform the first set of knowledge bullet-points into further 3-D frames of the first descriptive asset;
sending the further 3-D frames of the first descriptive asset to a human interface module of the computing system to provide the portrayal of the first descriptive asset;
obtaining the first assessment response associated with the human interface module; and
generating the evaluation of the first descriptive asset based on the first assessment response and the first assessment asset.

### Claim 6 (depends on 1)

The method of claim 1, wherein the modifying the illustration approach based on the evaluation of the first descriptive asset to produce the updated illustration approach comprises:
when the evaluation of the first descriptive asset indicates that a learner comprehension level is greater than a maximum comprehension threshold, updating the illustration approach to produce the updated illustration approach to include one or more of:
a more challenging viewpoint perspective,
a viewpoint perspective aligned with a selected other computing entity of the computing system,
a larger scale of a view,
a larger scope of the view,
a faster speed of delivery,
a higher number of views, and
more highlighting of the view; and
when the evaluation of the first descriptive asset indicates that the learner comprehension level is less than a minimum comprehension threshold, updating the illustration approach to produce the updated illustration approach to include one or more of:
a less challenging viewpoint perspective,
another viewpoint perspective aligned with another selected other computing entity of the computing system,
a smaller scale of the view,
a smaller scope of the view,
a slower speed of the delivery,
a lower number of the views, and
less highlighting of the view.

### Claim 7

A computing device of a computing system comprises:
an interface;
a local memory; and
a processing module operably coupled to the interface and the local memory, wherein the processing module functions to:
detect 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;
render 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;
obtain an evaluation of the first descriptive asset based on a first assessment response associated with a portrayal of the first descriptive asset;
modify the illustration approach based on the evaluation of the first descriptive asset to produce an updated illustration approach; and
render 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.

### Claim 8 (depends on 7)

The computing device of claim 7, wherein the processing module further functions to:
send, via the interface, the 3-D frames of the first descriptive asset to a human interface module of the computing system.

### Claim 9 (depends on 7)

The computing device of claim 7, wherein the processing module further functions to:
send, via the interface, the 3-D frames of the second descriptive asset to a human interface module of the computing system.

### Claim 10 (depends on 7)

The computing device of claim 7, wherein the processing module further functions to:
obtain a second evaluation of the second descriptive asset based on a second assessment response associated with a portrayal of the second descriptive asset;
modify the updated illustration approach based on the second evaluation of the second descriptive asset to produce a further updated illustration approach; and
render the 3-D model of the illustrative asset and a 3-D model of a third set of assets in accordance with the further updated illustration approach and with regards to a third set of knowledge bullet-points to transform the third set of knowledge bullet-points into 3-D frames of a third descriptive asset using the further updated illustration approach, wherein the third descriptive asset represents a third learning object.

### Claim 11 (depends on 7)

The computing device of claim 7, wherein the processing module functions to obtain the evaluation of the first descriptive asset based on the first assessment response associated with the portrayal of the first descriptive asset by:
rendering the 3-D model of the illustrative asset and a 3-D model of a first assessment asset of the first learning object in accordance with the illustration approach and with regards to the first set of knowledge bullet-points to further transform the first set of knowledge bullet-points into further 3-D frames of the first descriptive asset;
sending, via the interface, the further 3-D frames of the first descriptive asset to a human interface module of the computing system to provide the portrayal of the first descriptive asset;
obtaining the first assessment response associated with the human interface module; and
generating the evaluation of the first descriptive asset based on the first assessment response and the first assessment asset.

### Claim 12 (depends on 7)

The computing device of claim 7, wherein the processing module functions to modify the illustration approach based on the evaluation of the first descriptive asset to produce the updated illustration approach by:
when the evaluation of the first descriptive asset indicates that a learner comprehension level is greater than a maximum comprehension threshold, updating the illustration approach to produce the updated illustration approach to include one or more of:
a more challenging viewpoint perspective,
a viewpoint perspective aligned with a selected other computing entity of the computing system,
a larger scale of a view,
a larger scope of the view,
a faster speed of delivery,
a higher number of views, and
more highlighting of the view; and
when the evaluation of the first descriptive asset indicates that the learner comprehension level is less than a minimum comprehension threshold, updating the illustration approach to produce the updated illustration approach to include one or more of:
a less challenging viewpoint perspective,
another viewpoint perspective aligned with another selected other computing entity of the computing system,
a smaller scale of the view,
a smaller scope of the view,
a slower speed of the delivery,
a lower number of the views, and
less highlighting of the view.

### Claim 13

A non-transitory computer readable memory comprises:
a first memory element that stores operational instructions that, when executed by a processing module of a computing system, causes the processing module to:
detect 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;
a second memory element that stores operational instructions that, when executed by the processing module, causes the processing module to:
render 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;
a third memory element that stores operational instructions that, when executed by the processing module, causes the processing module to:
obtain an evaluation of the first descriptive asset based on a first assessment response associated with a portrayal of the first descriptive asset, and
modify the illustration approach based on the evaluation of the first descriptive asset to produce an updated illustration approach; and
a fourth memory element that stores operational instructions that, when executed by the processing module, causes the processing module to:
render 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.

### Claim 14 (depends on 13)

The non-transitory computer readable memory of claim 13 further comprises:
a fifth memory element stores operational instructions that, when executed by the processing module, causes the processing module to:
send the 3-D frames of the first descriptive asset to a human interface module of the computing system.

### Claim 15 (depends on 13)

The non-transitory computer readable memory of claim 13 further comprises:
a sixth memory element stores operational instructions that, when executed by the processing module, causes the processing module to:
send the 3-D frames of the second descriptive asset to a human interface module of the computing system.

### Claim 16 (depends on 13)

The non-transitory computer readable memory of claim 13 further comprises:
a seventh memory element stores operational instructions that, when executed by the processing module, causes the processing module to:
obtain a second evaluation of the second descriptive asset based on a second assessment response associated with a portrayal of the second descriptive asset;
modify the updated illustration approach based on the second evaluation of the second descriptive asset to produce a further updated illustration approach; and
render the 3-D model of the illustrative asset and a 3-D model of a third set of assets in accordance with the further updated illustration approach and with regards to a third set of knowledge bullet-points to transform the third set of knowledge bullet-points into 3-D frames of a third descriptive asset using the further updated illustration approach, wherein the third descriptive asset represents a third learning object.

### Claim 17 (depends on 13)

The non-transitory computer readable memory of claim 13, wherein the processing module functions to execute the operational instructions stored by the third memory element to cause the processing module to obtain the evaluation of the first descriptive asset based on the first assessment response associated with the portrayal of the first descriptive asset by:
rendering the 3-D model of the illustrative asset and a 3-D model of a first assessment asset of the first learning object in accordance with the illustration approach and with regards to the first set of knowledge bullet-points to further transform the first set of knowledge bullet-points into further 3-D frames of the first descriptive asset;
sending the further 3-D frames of the first descriptive asset to a human interface module of the computing system to provide the portrayal of the first descriptive asset;
obtaining the first assessment response associated with the human interface module; and
generating the evaluation of the first descriptive asset based on the first assessment response and the first assessment asset.

### Claim 18 (depends on 13)

The non-transitory computer readable memory of claim 13, wherein the processing module functions to execute the operational instructions stored by the third memory element to cause the processing module to modify the illustration approach based on the evaluation of the first descriptive asset to produce the updated illustration approach by:
when the evaluation of the first descriptive asset indicates that a learner comprehension level is greater than a maximum comprehension threshold, updating the illustration approach to produce the updated illustration approach to include one or more of:
a more challenging viewpoint perspective,
a viewpoint perspective aligned with a selected other computing entity of the computing system,
a larger scale of a view,
a larger scope of the view,
a faster speed of delivery,
a higher number of views, and
more highlighting of the view; and
when the evaluation of the first descriptive asset indicates that the learner comprehension level is less than a minimum comprehension threshold, updating the illustration approach to produce the updated illustration approach to include one or more of:
a less challenging viewpoint perspective,
another viewpoint perspective aligned with another selected other computing entity of the computing system,
a smaller scale of the view,
a smaller scope of the view,
a slower speed of the delivery,
a lower number of the views, and
less highlighting of the view.