Real-time human-machine collaboration using big data driven augmented reality technologies
US-2016378861-A1 · Dec 29, 2016 · US
US11068043B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11068043-B2 |
| Application number | US-201816024561-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 29, 2018 |
| Priority date | Jul 21, 2017 |
| Publication date | Jul 20, 2021 |
| Grant date | Jul 20, 2021 |
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Systems and methods for virtual reality interaction evaluation are disclosed herein. The system can include a memory including: an interaction sub-database containing information relating to user interactions with at least one virtual asset in a virtual environment, and a content library database containing a plurality of virtual assets and information relating to those virtual assets. The system can include at least one server that can determine user engagement with at least one of the plurality of virtual assets, receive data indicative of an interaction with at least one of the plurality of virtual assets, and determine an interaction type of the interaction associated with the received data. The server can perform a speech capture and analysis process, perform a manipulation process, generate an evaluation of the user interactions with the at least one of the plurality of virtual assets, and deliver the generated evaluation.
Opening claim text (preview).
What is claimed is: 1. A system for virtual reality-based grouping evaluation, the system comprising: memory comprising: an interaction sub-database comprising information relating to one or several user interactions with at least one virtual asset in a virtual environment; a content library database comprising a plurality of virtual assets and information relating to the plurality of virtual assets; and at least one server configured to: determine user engagement with at least one of the plurality of virtual assets; receive data indicative of a grouping interaction with at least one of the plurality of virtual assets, wherein the data indicative of the grouping interaction includes a user input grouping some of the plurality of virtual assets into a group of virtual assets; perform a grouping process when a grouping interaction is identified, the grouping process including: identifying the group of virtual assets, inputting the group of virtual assets into a grouping prediction model, identifying a predicted grouping basis, and identifying the predicted grouping basis as a grouping reason; evaluate the grouping of the plurality of virtual assets based on the grouping reason, including: inputting the grouping reason into an evaluation model, and outputting a score indicative of a cognitive level of the grouping reason; determine interaction quality; receive the score indicative of the cognitive level of the grouping reason; direct generation of a dashboard in a user device, wherein the dashboard comprises a user interface including panels configured to display information relating to user actions in the virtual environment, wherein at least one of the panels comprises a grouping panel; generate an evaluation of the grouping interaction with the at least one of the plurality of virtual assets; and deliver the generated evaluation by generating and sending signals containing information for display in the grouping panel, wherein the information for display in the grouping panel identifies one or several virtual assets included in the grouping, wherein the panels comprise an evaluation panel, wherein the evaluation panel is configured to display the score indicative of a cognitive level of the grouping reason for the grouped virtual assets. 2. The system of claim 1 , wherein the user input comprises moving the some of the plurality of virtual assets to a location within the virtual environment. 3. The system of claim 2 , wherein the location within the virtual environment comprises a virtual table. 4. A method for virtual reality-based grouping evaluation, the method comprising: launching a user experience in a virtual environment created by a computing device; generating a plurality of assets within the virtual environment; determining with the computing device user engagement with at least one of the plurality of virtual assets; receiving data at the computing device, wherein the data is indicative of a grouping interaction with at least one of the plurality of virtual assets, wherein the data indicative of the grouping interaction identifies a group of virtual assets, wherein the data indicative of the grouping interaction comprises a user input grouping some of the plurality of virtual assets and the user input comprises moving the some of the plurality of virtual assets to a location within the virtual environment; performing with the computing device a grouping process based on the received data indicative of the grouping interaction with the at least one of the plurality of virtual assets including: identifying the group of virtual assets; inputting the group of virtual assets into a grouping prediction model; identifying a predicted grouping basis; identifying the predicted grouping basis as a grouping reason; and evaluating the grouping based on the grouping reason; generating with the computing device an evaluation of the grouping interaction with the at least one of the plurality of virtual assets including: inputting the grouping reason into an evaluation model; and outputting a score indicative of a cognitive level of the grouping reason; determining interaction quality; receiving the score indicative of the cognitive level of the grouping reason; directing generation of a dashboard in the user device, wherein the dashboard comprises a user interface including panels configured to display information relating to user actions in the virtual environment, wherein at least one of the panels comprises a grouping panel; and delivering the generated evaluation to a user device by generating and sending signals containing information for display in the grouping panel, wherein the information for display in the grouping panel identifies one or several virtual assets included in a grouping, wherein at least one of the panels comprises an evaluation panel, and wherein the evaluation panel is configured to display the score indicative of a cognitive level of the grouping reason for the grouped virtual assets. 5. The method of claim 4 , wherein the location within the virtual environment comprises a virtual table. 6. The method of claim 4 , wherein the interaction quality is determined based at least partially on omitted interactions.
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