Voice Command Platform Selection With Cross-Platform Parameter Resolution
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Solution Overview
Problem
Challenges exist in selecting the appropriate digital platform to execute voice-based commands in a computing environment, as each platform may have unique applications with different code formats, processing types, and data sources, leading to inconsistent user experiences and increased storage and management complexity.
Innovation Solution
A data processing system that receives and parses voice-based input to identify actions and services, selects a platform based on policies and historical execution information, and resolves conflicts or inconsistencies in parameters across multiple platforms, enabling seamless execution and unified user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple digital platforms are used to perform actions, then service versatility and platform adaptability are improved, but device complexity and parameter conflict management increase
Solution Approach 1:
The patent introduces a data processing system as an intermediary between the voice-based computing environment and multiple digital platforms. This intermediary automatically selects appropriate platforms, manages parameter conflicts, and coordinates actions across platforms, thereby enabling multi-platform versatility without proportionally increasing system complexity.
Solution Approach 2:
The system segments the complex multi-platform coordination task into distinct functional components: voice input processing, platform selection based on policies, parameter validation, conflict detection, and action execution. This segmentation allows each component to handle specific aspects independently, reducing overall system complexity while maintaining adaptability across platforms.
2Reliability
If platform selection is based on multiple parameters and policies, then execution accuracy and user experience consistency are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing platform selection policies and pre-validating parameters during application debugging phases. Historical execution information is pre-collected and stored, allowing the system to quickly retrieve and apply relevant policies during actual voice command execution, thereby reducing real-time processing time while maintaining high execution accuracy.
Solution Approach 2:
The system incorporates feedback mechanisms that use historical execution information to refine platform selection decisions. By analyzing past execution outcomes and feeding this information back into the selection policy, the system learns optimal platform choices over time, improving execution accuracy without requiring increasingly complex real-time analysis.
3Reliability
If parameters are validated across multiple platforms, then execution reliability is improved, but debugging complexity and development time increase
Solution Approach 1:
The system implements self-service automation in parameter validation and conflict detection. The data processing system automatically compares parameters across platforms, identifies conflicts, and notifies service providers without requiring manual intervention. This automation maintains high execution reliability while reducing the manual debugging effort and development time that would otherwise be required.
Solution Approach 2:
The patent replaces manual mechanical debugging processes with automated computational systems. Instead of developers manually testing and validating parameters across multiple platforms, the system uses automated data processing and comparison algorithms to perform these tasks, thereby maintaining reliability while significantly easing the development process.
4Productivity
If conflicts are automatically resolved using policies, then operational efficiency is improved, but policy configuration complexity and initial setup time increase
Solution Approach 1:
The system performs preliminary configuration of resolution policies during the setup phase, storing predefined rules for automatically resolving parameter conflicts across platforms. Once configured, these policies are automatically applied during operation without requiring further intervention, thereby achieving high operational efficiency while concentrating the complexity burden in the initial setup phase rather than in ongoing operations.
Data Source
AI summary
Systems and methods of selecting digital platforms for execution of voice-based commands are provided. The system receives an application that performs an action associated with a service via digital platforms. The system debugs the application to validate parameters of the action on at least two platforms of the digital platforms. The system receives data packets comprising an input audio signal detected by a sensor of a client device, and parses the input audio signal to identify the action and the service. The system selects a first platform from the digital platforms to perform the action. The system initiates, responsive to selection of the first platform, an interactive data exchange to populate parameters of an action data structure corresponding to the action. The system executes the action via the selected platform using the action data structure.