AI-Mediated Solution Ranking in Collaborative Virtual Workshops
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Solution Overview
Problem
Current VR applications for enterprise collaboration lack effective tools and personalized experiences, leading to inefficient problem-solving and resource utilization in virtual workshops, as they often suffer from poor resolution, bugs, and inadequate integration of external data.
Innovation Solution
A VR platform that supports collaborative virtual environments by providing tailored objects, curating and ranking user-generated solutions using natural language processing and machine learning, to efficiently identify top-ranked solutions and reduce resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple user-generated solutions are collected and discussed in virtual workshops, then the diversity and quality of solutions improve, but the time and computational resources required to evaluate and select solutions increase significantly
Solution Approach 1:
The patent introduces an AI intermediary system that acts as a mediator between user-generated solutions and final selection. The AI automatically curates, ranks, and summarizes solutions using natural language processing, serving as an intermediate layer that reduces the time and effort required for human evaluation while maintaining solution quality.
Solution Approach 2:
The patent replaces the mechanical process of manual solution evaluation and discussion with an automated AI-based system. Instead of humans manually reviewing and ranking solutions, the system uses machine learning models to automatically curate and rank solutions, substituting computational processes for manual human effort.
2Measurement precision
If comprehensive data from multiple user devices is collected and processed, then the accuracy of solution ranking improves, but the computational complexity and resource utilization increase
Solution Approach 1:
The patent applies preliminary action by pre-processing and curating data before full analysis. The system automatically filters, organizes, and prepares user-generated solutions in advance, structuring the data in a way that simplifies subsequent ranking and evaluation processes, thereby reducing overall computational complexity.
Solution Approach 2:
The patent changes parameters by transforming unstructured user feedback into structured, ranked data. The system converts diverse user inputs into standardized formats with assigned rankings and summaries, changing the state of the data from chaotic to organized, which reduces processing complexity while maintaining accuracy.
3Productivity
If natural language processing and machine learning techniques are applied to curate and rank solutions, then the efficiency of solution identification improves, but the computational resources and processing power required increase
Solution Approach 1:
The patent applies partial action by using AI techniques selectively rather than processing all data equally. The system focuses computational resources on curating and ranking the most relevant solutions, applying sophisticated NLP and ML methods only where needed to identify top solutions, rather than uniformly processing all user inputs with the same level of computational intensity.
Data Source
AI summary
A device may provide, to user devices, a set of objects that are to be used by the user devices as part of a collaborative virtual environment. The collaborative virtual environment may support a virtual workshop. The set of objects may include objects capable of being used to solve a problem that is presented to users within the virtual workshop. The device may receive data describing a set of solutions. The device may curate the data describing the set of solutions using one or more natural language processing techniques. The device may rank the set of solutions that has been curated using a ranking technique or a machine learning technique. The device may provide data identifying a highest ranked solution or data identifying the set of solutions for display within the virtual workshop or to additional user devices that are accessible outside of the virtual workshop.