18151242. IDENTIFYING WHETHER INTERACTING WITH REAL PERSON OR SOFTWARE ENTITY IN METAVERSE simplified abstract (Cisco Technology, Inc.)
Contents
IDENTIFYING WHETHER INTERACTING WITH REAL PERSON OR SOFTWARE ENTITY IN METAVERSE
Organization Name
Inventor(s)
Joel Abraham Obstfeld of Hertfordshire (GB)
Simon Peter James Dyke of Hampshire (GB)
James Geoffrey Walker of West Sussex (GB)
IDENTIFYING WHETHER INTERACTING WITH REAL PERSON OR SOFTWARE ENTITY IN METAVERSE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18151242 titled 'IDENTIFYING WHETHER INTERACTING WITH REAL PERSON OR SOFTWARE ENTITY IN METAVERSE
The patent application describes methods for generating a proof-of-life indicator in a metaverse platform to distinguish between human users and software-based entities.
- Data streams from sensors monitor user activity in the metaverse environment.
- The data streams capture behavioral and biometric characteristics of the user.
- Attribute information extracted from the data streams is aggregated to determine the user's identity.
- A proof-of-life indicator is generated to indicate whether the user is human or software-based, along with a confidence level.
- The proof-of-life indicator is provided within the metaverse environment.
Potential Applications: - Enhancing security in virtual environments - Preventing unauthorized access to metaverse platforms - Improving user experience by ensuring interactions are with human users
Problems Solved: - Identifying and differentiating between human users and software-based entities in the metaverse - Enhancing trust and safety within virtual communities
Benefits: - Increased security and privacy for users - Enhanced user experience through personalized interactions - Prevention of malicious activities by software-based entities
Commercial Applications: Title: "Enhancing Security in Virtual Environments with Proof-of-Life Indicators" This technology could be utilized by metaverse platforms, online gaming companies, and virtual event organizers to ensure the authenticity of user interactions and prevent fraudulent activities.
Prior Art: Researchers in the field of biometric authentication and virtual reality technologies may have explored similar methods for verifying user identities in virtual environments.
Frequently Updated Research: Ongoing research in the fields of biometrics, artificial intelligence, and cybersecurity may provide insights into the continuous development and improvement of proof-of-life indicators in virtual environments.
Questions about Proof-of-Life Indicators: 1. How do proof-of-life indicators enhance security in virtual environments? Proof-of-life indicators help verify the authenticity of user interactions, preventing unauthorized access and fraudulent activities. 2. What are the potential implications of using proof-of-life indicators in metaverse platforms? Implementing proof-of-life indicators can lead to increased trust, improved user experiences, and enhanced security measures within virtual environments.
Original Abstract Submitted
Methods that generate a proof-of-life indicator used by a metaverse platform to indicate whether an avatar is being controlled by or is representative of a human user or a software-based entity. In these methods, a plurality of data streams are obtained from a plurality of sensors that are configured to monitor activity of a user that is active within the metaverse environment. The plurality of data streams relate to behavioral and biometric characteristics of the user that is interacting within the metaverse environment. The methods involve determining whether the user is a human user or a software-based entity based on aggregating attribute information extracted from the plurality of data streams, generating a proof-of-life indicator that indicates whether the user is the human user or the software-based entity and a confidence level associated with the proof-of-life indicator, and providing the proof-of-life indicator in the metaverse environment.
