Adaptive Voice Interface Selecting Candidate Requests
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Solution Overview
Problem
Excessive network transmissions of network traffic data can lead to inefficient bandwidth utilization, processor overload, and complications in data routing, especially when responding to ambiguous requests.
Innovation Solution
A system that includes a data processing system executing a natural language processor (NLP) component, an interface management component, and a direct action API, which receives input audio signals, parses them to identify candidate requests, determines the client device's interface type, selects relevant requests, generates action data structures, and transmits them to the client device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the data processing system transmits all candidate requests to the client device, then the client device can receive comprehensive responses, but network bandwidth is wasted and processor capacity is overloaded
Solution Approach 1:
The interface management component extracts and transmits only the relevant subset of candidate requests to the client device, separating useful requests from unnecessary ones. This extraction principle reduces network traffic while ensuring that all necessary requests are handled, resolving the contradiction between completeness and bandwidth efficiency.
Solution Approach 2:
The system applies different transmission strategies to different candidate requests based on their relevance to the input signal. Rather than treating all requests uniformly, the interface management component selectively transmits only those requests that are locally optimal for the specific client device and input context, improving bandwidth efficiency while maintaining reliability.
2Reliability
If the data processing system processes all candidate requests, then response completeness is improved, but processor capacity is exceeded and response time degrades
Solution Approach 1:
The interface management component extracts only the relevant candidate requests that need to be processed, removing unnecessary requests from the processing queue. This extraction ensures that processor capacity is focused on essential tasks, improving response time while maintaining response completeness for relevant requests.
Solution Approach 2:
The system performs partial processing by handling only the necessary subset of candidate requests rather than all possible requests. This partial action principle prevents processor overload and excessive response times while ensuring that all required responses are generated, resolving the contradiction between completeness and productivity.
3Adaptability or versatility
If the system transmits action data structures for all candidate requests, then the client device has all possible responses, but network traffic becomes excessive and routing becomes complicated
Solution Approach 1:
The interface management component extracts and transmits only the relevant action data structures corresponding to relevant candidate requests. This selective extraction reduces data routing complexity by minimizing the volume of transmitted data while preserving adaptability through inclusion of all necessary response options for the specific context.
Data Source
AI summary
The systems and methods of the present disclosure generally relate to a data processing system that can identify and surface alternative requests when presented with ambiguous, unclear, or other requests to which a data processing system may not be able to respond. The data processing system can improve the efficiency of network transmissions to reduce network bandwidth usage and processor utilization by selecting alternative requests that are responsive to the intent of the original request.