Voice Assistant Integration in Client Applications
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Solution Overview
Problem
Existing voice assistant technologies are not adequately integrated with client applications, leading to inadequate interaction, inaccurate responses, and inefficient resource usage, as they fail to seamlessly execute voice utterances and require excessive manual input, resulting in poor user experience and increased computing resource consumption.
Innovation Solution
The integration of voice assistants with client applications to receive voice utterance data and user view context, allowing for the determination of user intent and automatic execution of tasks within the client application, such as switching pages and populating fields, while supporting multi-modal inputs to enhance user interaction and reduce manual navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice assistant functionality is placed in a shell of the operating system or on top of a client application, then the voice assistant can be activated to listen for voice utterances, but the voice assistant cannot adequately interact with the client application to execute commands or perform operations
Solution Approach 1:
The patent merges the voice assistant functionality directly into the client application by embedding a voice processing module within the application's process space. This allows the voice assistant to directly access and manipulate the application's data structures, user interface elements, and business logic, enabling seamless execution of voice commands without requiring separate system shell integration.
Solution Approach 2:
The patent introduces an intermediary layer consisting of hooks and callbacks that mediate between the voice processing module and the client application's native functions. This intermediary mechanism allows the voice assistant to trigger application-specific operations through defined interfaces while maintaining the application's architectural integrity and enabling bidirectional communication between voice inputs and application state.
2Ease of operation
If voice assistant functionality is not natively embedded in a client application, then the application can maintain its original architecture, but the application cannot perform seamless actions according to voice utterances
Solution Approach 1:
The patent implements preliminary action by pre-defining a set of hooks and callback functions within the client application that are specifically designed to respond to voice commands. These pre-established interfaces allow the voice processing module to directly invoke application functions without requiring complex runtime negotiations or additional manual integration steps, thereby achieving seamless operation.
Solution Approach 2:
The patent introduces dynamic adaptability by enabling the client application to register custom callbacks and hooks that can be configured at runtime. This allows the application to dynamically adapt its behavior based on voice utterances while maintaining its core architectural structure, achieving ease of operation without permanent architectural modification.
3Productivity
If conventional voice assistant functionality is used, then the system can process voice inputs, but the system requires excessive manual input and navigation
Solution Approach 1:
The patent implements self-service by enabling the voice processing module to automatically interpret voice utterances and directly trigger the corresponding client application functions without requiring user intervention for navigation or data entry. The system uses the hooks and callbacks mechanism to autonomously execute tasks such as switching pages, populating fields, and performing operations based solely on the voice input.
Solution Approach 2:
The patent replaces manual mechanical interactions (clicking, typing, navigating) with acoustic-based voice commands processed through the embedded module. By substituting the mechanical input method with voice recognition and direct function invocation via hooks and callbacks, the system eliminates the need for manual navigation and data entry, significantly improving productivity.
4Measurement precision
If voice assistant functionality sits outside the client application, then the application can maintain its original codebase, but the voice assistant cannot accurately respond to voice utterance requests
Solution Approach 1:
The patent applies local quality by embedding the voice processing module specifically within the client application's process space, allowing it to access application-specific context, data structures, and business logic. This localized embedding enables the voice assistant to accurately interpret voice utterances in the context of the specific application being used, rather than providing generic voice recognition.
Solution Approach 2:
The patent uses hooks and callbacks as intermediaries that facilitate accurate communication between the voice processing module and the application's internal systems. These intermediaries enable the voice assistant to access application-specific data and context while maintaining clean separation of concerns, thereby achieving accurate voice intent recognition without requiring complete codebase modification.
Data Source
AI summary
Various embodiments discussed herein enable client applications to be heavily integrated with a voice assistant in order to perform commands associated with voice utterances of users via voice assistant functionality and also seamlessly cause client applications to automatically perform native functions as part of executing the voice utterance. Such heavy integration also allows particular embodiments to support multi-modal input from a user for a single conversational interaction. In this way, client application user interface interactions, such as clicks, touch gestures, or text inputs are executed alternative or in addition to the voice utterances.