Sentiment-based adaptations of user representations in virtual environments

An apparatus comprising:

• at least one processing device comprising a processor coupled to a memory;
• the at least one processing device being configured to implement the following steps:
• obtaining information characterizing a first user and at least one other user interacting with a session of a virtual environment;
• applying the information to at least one analytics engine to obtain a sentiment status indicating a sentiment of the at least one other user in the virtual environment, wherein the at least one analytics engine processes the obtained sentiment status of the at least one other user to select one or more adaptations of one or more of a facial expression and a body language of a representation of the first user from one or more of a plurality of learned sentiment-based facial expression examples and a plurality of learned sentiment-based body language examples, using the obtained sentiment status of the at least one other user;
• and
• automatically initiating a rendering of the virtual environment using the selected one or more adaptations of the one or more of the facial expression and the body language of the representation of the first user in the virtual environment.

A non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device to perform the following steps:

• obtaining information characterizing a first user and at least one other user interacting with a session of a virtual environment;
• applying the information to at least one analytics engine to obtain a sentiment status indicating a sentiment of the at least one other user in the virtual environment, wherein the at least one analytics engine processes the obtained sentiment status of the at least one other user to select one or more adaptations of one or more of a facial expression and a body language of a representation of the first user from one or more of a plurality of learned sentiment-based facial expression examples and a plurality of learned sentiment-based body language examples, using the obtained sentiment status of the at least one other user;
• and
• automatically initiating a rendering of the virtual environment using the selected one or more adaptations of the one or more of the facial expression and the body language of the representation of the first user in the virtual environment.