首页|Patent Issued for Automated configuration of augmented and virtual reality avata rs for user specific behaviors (USPTO 12032732)

Patent Issued for Automated configuration of augmented and virtual reality avata rs for user specific behaviors (USPTO 12032732)

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The assignee for this patent, patent number 12032732, is PayPal Inc. (San Jose, California, UnitedStates).Reporters obtained the following quote from the background information supplied by the inventors:“Various types of service providers may provide augmented and/ or virtual reality experiences for certainuses, include augmented reality (AR) and/or virtual reality (VR) environments where users may interact withother use rs, objects, and the like through real-world and/or digital experiences. An AR e nvironment mayinclude partially digital environments and overlaying virtual obj ects over real-world images so that additionaldata or content may be seen with real-world images and/or environments, where a VR environment mayinclude fully virtual or digital environments, such as metaverses. An AR or VR experience may allow usersto interact with other users in a virtual environment, view and/or p roduce content, interact with avatarsfor real users and/or artificial intellige nce characters, play games, and perform other actions. Additionally,service pro viders may provide other services to users through AR and/or VR environments, in cludingelectronic transaction processing to users. However, avatars and virtual objects in these digital environmentsmay be statically coded and configured, w hich may not be appropriate for certain environments and/oruser activities, may not be entertaining or may otherwise aggravate a user, and/or information may n ot beproperly conveyed to a user. As such, it may be desirable for service prov iders to automatically configuredigitally presented avatars and their correspon ding display parameters and code for specific environmentsand user behaviors.

Artificial IntelligenceBusinessEmerg ing TechnologiesMachine LearningPayPal Inc

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.26)