Contextual positioning in virtual space
Methods, systems, and a computer program product are disclosed. The first method includes obtaining virtual session data in real time, identifying a positional utterance in the virtual session data, and generating a positional insight for the positional utterance. The first method also includes generating a best-practices recommendation based on the positional insight. The second method includes obtaining virtual session data, identifying positional utterances in the virtual session data, and generating positional insights for each of the positional utterances. The second method also includes selecting each of the positional insights having confidence scores above a threshold score and generating best-practices recommendations based on the selected positional insights.
1. A method, comprising:
obtaining virtual session data in real time from a virtual session in a virtual space, wherein the virtual session data comprises natural language utterances of users participating in the virtual session;
identifying a positional utterance in the natural language utterances;
generating a positional insight for the positional utterance, wherein the positional insight indicates an ideal location within the virtual space for an avatar representing a user from the users;
determining that the positional insight has a confidence score above a threshold score;
in response to the determining, selecting the positional insight;
in response to the selecting, generating a best-practices recommendation based on the positional insight;
in response to the best-practices recommendation, comparing a location of the avatar with the ideal location; and
based on the comparing, automatically modifying a positional rendering of the avatar.
2. The method of claim 1 , further comprising generating a report providing a best-practices recommendation for rendering the virtual space during an instructional session.
3. The method of claim 1 , wherein the positional insight is generated based on a contextual correlation between the positional utterance and contextual information about the virtual session.
4. The method of claim 1 , wherein the positional utterance is identified in real time by, using natural language understanding, detecting an utterance related to a location within the virtual space.
5. The method of claim 1 , further comprising adding the virtual session data to a corpus of historical virtual session data.
6. The method of claim 1 further comprising receiving user feedback in response to the best-practices recommendation.
7. The method of claim 1 , further comprising generating a best-practices recommendation for positioning user avatars in a virtual instruction session.
8. The method of claim 1 , further comprising generating a best-practices recommendation for positioning virtually rendered objects in a virtual instruction session.
9. The method of claim 1 , wherein the positional insight is generated using at least one correlation model, and wherein the method further comprises training the at least one correlation model, the training comprising:
obtaining a corpus of historical virtual session data comprising positional requests and contextual information extracted from speech data during at least one virtual session in the virtual space; and
deriving correlations between the contextual information and the positional requests.
10. The method of claim 9 , wherein the contextual information is defined based on common scenarios in virtual instructional sessions.
11. The method of claim 1 , wherein the identifying comprises:
detecting an utterance related to an activity; and
determining that the activity is correlated with a location within the virtual space.
12. A system, comprising:
a memory; and
a processor communicatively coupled to the memory, wherein the processor is configured to perform a method comprising:
obtaining virtual session data in real time from a virtual session in a virtual space, wherein the virtual session data comprises natural language utterances of users participating in the virtual session;
identifying a positional utterance in the natural language utterances;
generating a positional insight for the positional utterance, wherein the positional insight indicates an ideal location within the virtual space for an avatar representing a user from the users;
determining that the positional insight has a confidence score above a threshold score;
in response to the determining, selecting the positional insight;
in response to the selecting, generating at least one best-practices recommendation based on the positional insight;
in response to the at least one best-practices recommendation, comparing a location of the avatar with the ideal location; and
based on the comparing, automatically modifying a positional rendering of the avatar.
13. The system of claim 12 , further comprising, in response to the best-practices recommendation, generating a report providing a recommendation for rendering the virtual space during an instructional session.
14. The system of claim 12 , wherein the positional insight is generated based on a contextual correlation between the positional utterance and contextual information about the virtual space.
15. The system of claim 12 , wherein the positional utterance is identified in real time by, using natural language understanding, detecting an utterance related to a location within the virtual space.
16. The system of claim 12 , further comprising adding the virtual session data to a corpus of historical virtual session data.
17. The system of claim 12 , further comprising receiving user feedback in response to the best-practices recommendation.
18. The system of claim 12 , further comprising generating a best-practices recommendation for positioning user avatars in a virtual instruction session.
19. The system of claim 12 , further comprising generating a best-practices recommendation for positioning virtually rendered objects in a virtual instruction session.
20. A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause a device to perform a method, the method comprising:
obtaining virtual session data in real time from a virtual session in a virtual space, wherein the virtual session data comprises natural language utterances of users participating in the virtual session;
identifying a positional utterance in the natural language utterances;
generating a positional insight for the positional utterance, wherein the positional insight indicates an ideal location within the virtual space for an avatar representing a user from the users based on a correlation between the positional utterance and contextual information about the virtual session;
determining that the positional insight has a confidence score above a threshold score;
in response to the determining, selecting the positional insight;
in response to the selecting, generating a best-practices recommendation based on the positional insight;
in response to the best-practices recommendation, comparing a location of the avatar with the ideal location; and
based on the comparing, automatically modifying a positional rendering of the avatar.
21. The computer program product of claim 20 , further comprising generating a report providing a best-practices recommendation for rendering the virtual space during an instructional session.
22. The computer program product of claim 20 , further comprising generating a best-practices recommendation for positioning user avatars in a virtual instruction session.
23. The computer program product of claim 20 , further comprising generating a best-practices recommendation for positioning virtually rendered objects in a virtual instruction session.
24. A method, comprising:
obtaining virtual session data from a virtual session in a virtual space, wherein the virtual session data comprises natural language utterances of users participating in the virtual session;
identifying positional utterances in the natural language utterances;
generating positional insights for each of the positional utterances, wherein the positional insights comprise an insight indicating an ideal location within the virtual space for an avatar representing a user from the users based on a correlation between the positional utterance and contextual information about the virtual session;
selecting each of the positional insights having confidence scores above a threshold score;
generating best-practices recommendations based on the selected positional insights;
in response to at least one of the best-practices recommendations, comparing a location of the avatar with the ideal location; and
based on the comparing, automatically modifying a positional rendering of the avatar.
25. A system, comprising:
a memory; and
a processor communicatively coupled to the memory, wherein the processor is configured to perform a method comprising:
obtaining virtual session data from a virtual session in a virtual space, wherein the virtual session data comprises natural language utterances of users participating in the virtual session;
identifying positional utterances in the natural language utterances;
generating positional insights for each of the positional utterances, wherein the positional insights comprise an insight indicating an ideal location within the virtual space for an avatar representing a user from the users based on a correlation between the positional utterance and contextual information about the virtual session;
selecting each of the positional insights having confidence scores above a threshold score;
generating best-practices recommendations based on the selected positional insights;
in response to at least one of the best-practices recommendations, comparing a location of the avatar with the ideal location; and
based on the comparing, automatically modifying a positional rendering of the avatar.