Messaging Personal Assistant Intent Detection and Interface Configuration
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Solution Overview
Problem
Conventional information service systems face challenges in efficiently providing relevant information to users due to the sheer volume of available goods and services, often requiring users to manually search through unrelated information and relying on artificial intelligence systems that may provide unhelpful responses.
Innovation Solution
A personal assistant service system that uses natural language processing to determine the intent of user requests within messaging applications, configuring an agent user interface to include relevant options and interacting with third-party services to streamline the information retrieval process, thereby reducing the time and effort required to fulfill user requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users manually search for information in conventional information service systems, then they can access a wide range of goods and services, but the time and effort required to find relevant information increases significantly
Solution Approach 1:
The system performs preliminary actions by pre-processing user queries through natural language processing to extract intent, and pre-organizing information by configuring the agent user interface with pre-sorted options based on determined intent. This eliminates the need for users to manually search through large volumes of information, as the system has already organized and prioritized relevant information before the user needs it.
2Loss of information
If conventional AI systems are used to respond to user queries, then relevant information can be provided, but the responses may still be unrelated or unhelpful due to limitations
Solution Approach 1:
The system implements feedback mechanisms where the natural language processing component continuously refines intent determination based on user interactions, and the agent user interface adapts its configuration based on the determined intent. This feedback loop ensures that information provided to the agent is increasingly accurate and relevant, improving the reliability of responses over time.
Solution Approach 2:
The system changes parameters by dynamically adjusting the agent user interface configuration based on the determined intent from natural language processing. Different intents trigger different interface configurations with relevant options, allowing the system to adapt its information presentation parameters to match the user's specific needs, thereby improving response accuracy.
3Loss of information
If the agent user interface includes all possible options, then the agent has complete information, but the complexity of the interface and the number of steps to fulfill requests increases
Solution Approach 1:
The system applies local quality by configuring the agent user interface to include options specifically tailored to the determined intent rather than displaying all possible options uniformly. The interface adapts its content and structure locally based on the specific intent detected through natural language processing, providing relevant information only where needed and reducing overall interface complexity.
Data Source
AI summary
The present disclosure relates to systems, methods, and devices for providing personal assistant service via messaging. In particular, one or more embodiments receive a request for personal assistant service in an electronic message from a user, assign the request to an agent, determine an intent of the request, and configure an agent user interface to include one or more options in accordance with the determined intent of the request.