Object Graph Data Capture for Multiplatform Input Routing
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Solution Overview
Problem
Conventional multiplatform computing systems require users to provide highly structured input to each individual platform, leading to time and productivity losses, context switching frustrations, and incomplete data capture during collaborative meetings.
Innovation Solution
A platform-agnostic data input system that allows users to input data in any form or format, using a synchronized multiuser input board, which leverages an object graph to infer structure and automatically convert data into platform-specific objects for storage in appropriate internal platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users provide highly structured input to each individual platform, then data can be accurately stored and retrieved, but time and productivity losses increase due to context switching between platforms
Solution Approach 1:
The patent introduces a platform-agnostic data input system as an intermediary layer between users and multiple platform-specific systems. This intermediary automatically converts unstructured user input into platform-specific structured data objects, eliminating the need for users to directly interact with multiple different input formats while maintaining data accuracy for each platform.
Solution Approach 2:
The system changes the parameter of data input from highly structured platform-specific formats to unstructured platform-agnostic input. By accepting input in any form or format and then transforming it into the required platform-specific structure, the system maintains reliability while dramatically improving productivity.
2Manufacturing precision
If users must learn and adapt to each platform's specific input requirements, then data can be properly formatted, but context switching between platforms becomes frustrating and time-consuming
Solution Approach 1:
The patent creates a universal data input system that can accept input in any form or format from users, regardless of their background or the specific platform they are using. This single universal interface replaces the need for users to learn and adapt to multiple different input requirements across different platforms, dramatically improving ease of operation while maintaining formatting accuracy through automated conversion.
3Reliability
If employees provide platform-specific structured input, then data can be accurately captured, but comprehensive data capture during collaborative meetings is hindered by context switching
Solution Approach 1:
The system performs preliminary action by capturing unstructured data in its raw form during collaborative meetings before any platform-specific processing is needed. The platform-agnostic input system captures data once in a universal format, and then the system automatically transforms it into the appropriate platform-specific formats in the background, eliminating the need for employees to switch contexts between platforms during data capture.
Data Source
AI summary
A platform-agnostic input system can render a multiuser input board user interface element at one or more frontends to collect input from multiple users simultaneously. The platform-agnostic input system can maintain an object graph based on positions of objects added to the multiuser input board. The platform-agnostic input system can select branches of the object graph and determine which among a set of platforms in a multiplatform computing system to associate with the data associated with each node of that branch of the object graph.