Industrial Metaverse Avatar Toolsets Using Cognitive Profiling
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Solution Overview
Problem
Existing systems in industrial metaverse environments equip avatars with uniform tools, leading to inefficiencies as users spend time searching for specific tools, disrupting workflow and reducing productivity.
Innovation Solution
A system and method that intelligently equip avatars with personalized tools by identifying user scenarios, performing cognitive profiling, and mapping objectives with a recommended set of tools using machine learning and real-time sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If avatars are equipped with uniform tools across all users, then device complexity is reduced and ease of operation is improved, but productivity deteriorates due to time spent searching for specific tools
Solution Approach 1:
The system performs preliminary actions by automatically identifying the scenario each avatar has entered and proactively equipping them with the appropriate personalized toolset before they need to perform tasks. This eliminates the need for avatars to manually search for tools, as the recommended tools are already available when the avatar enters the virtual environment.
Solution Approach 2:
The system enables self-service by using scenario identification and cognitive profiling to automatically determine and equip each avatar with their required tools without manual intervention. The avatar simply needs to enter the virtual environment, and the system autonomously provides the appropriate toolset based on the identified scenario and user profile.
2Productivity
If avatars are equipped with personalized tools based on scenario and cognitive profiling, then productivity is improved, but device complexity increases
Solution Approach 1:
The system replaces manual mechanical processes with automated computational systems. Instead of users manually selecting and equipping tools, the system uses scenario identification algorithms, cognitive profiling analysis, and machine learning models to automatically determine and provide the appropriate toolset. This substitution of manual operations with intelligent automation resolves the complexity issue.
Solution Approach 2:
The system dynamically changes parameters such as the toolset configuration based on identified scenarios and cognitive profiles. By adjusting the parameters of what tools are provided based on real-time scenario data and user characteristics, the system achieves personalization without requiring a completely separate system for each user, thus managing complexity through adaptive parameter adjustment.
Data Source
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AI summary
Disclosed is a computer-implemented method (400) to intelligently equip and personalize tools for a plurality of avatars in an industrial metaverse. The method (400) includes identifying (404) for each avatar of a plurality of avatars, a scenario in which a corresponding avatar has entered into the industrial metaverse. The plurality of avatars corresponds to a plurality of users in the industrial metaverse. Further, the method (400) includes performing (406) cognitive profiling of each user of the plurality of users based on user profile information associated with each user. Furthermore, the method (400) includes equipping (408) each avatar of the plurality of avatars with a recommended set of tools from a set of tools based on the identified scenario for the corresponding avatar, the cognitive profiling of a corresponding user associated with the corresponding avatar, and an objective associated with the corresponding avatar.