Digital Assistant Application Integration via Intent Objects
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Solution Overview
Problem
Existing digital assistants cannot effectively integrate with applications, such as locally stored or third-party applications, and thus cannot provide a natural-language interface with these applications.
Innovation Solution
The method involves receiving an audio input with natural-language user input, identifying an intent object derived from the input, associating it with a software application, and providing the intent object to the application to perform a task, while receiving and responding to the application's result.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital assistants use traditional interface methods, then they can maintain simple system architecture, but they cannot integrate with third-party applications or provide natural-language interface with applications
Solution Approach 1:
The patent introduces an intermediary layer (application integration interface) between the digital assistant and third-party applications. This interface includes standardized protocols for natural-language processing, intent recognition, and task execution, allowing the digital assistant to communicate with applications without requiring deep integration into each application's internal architecture, thus maintaining system simplicity while enabling broad adaptability
Solution Approach 2:
The patent creates a universal application integration framework that can work with multiple different types of applications through standardized interfaces. The digital assistant uses a common set of protocols and data structures to interact with diverse applications, eliminating the need for application-specific integration code and reducing overall system complexity while enhancing versatility
2Ease of operation
If digital assistants provide natural-language interface with applications, then user convenience is improved, but processing complexity and response time increase
Solution Approach 1:
The patent implements preliminary action by pre-processing and structuring application data into standardized formats that are optimized for natural-language processing. Intent recognition models and task execution protocols are prepared in advance, allowing the digital assistant to quickly match user commands with application functions without requiring complex real-time analysis, thus reducing response time while maintaining ease of operation
Solution Approach 2:
The patent segments the natural-language processing task into distinct modular components: speech recognition, intent classification, parameter extraction, and command routing. Each component handles a specific aspect of the interaction independently, allowing for optimized processing of each stage and reducing overall execution time while providing a convenient user interface
3Adaptability or versatility
If digital assistants integrate with locally stored applications, then functionality is enhanced, but security risks and access control complexity increase
Solution Approach 1:
The patent introduces a security intermediary layer that acts as a gatekeeper between the digital assistant and locally stored applications. This intermediary implements standardized authentication protocols, authorization checks, and secure data exchange mechanisms, allowing the system to access application functionality while maintaining security controls and reducing risks associated with direct integration
Data Source
AI summary
Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes receiving an audio input including a natural-language user input, wherein the audio input includes a first parameter, and wherein the first parameter includes a name of a first software application determine an intent object of a set of intent objects based on the natural-language user input, determining, based on the first parameter and one or more software applications registered with an application registration service, the first software application associated with the intent object of the set of intent objects, and providing the intent object to the first software application to cause the first software application to perform a task associated with the intent object.


