Messaging Bot Suggestion via Intent Analysis
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Solution Overview
Problem
Users face difficulties in discovering and accessing messaging bot capabilities within messaging systems, as they may not be aware of the available services or how to invoke them, leading to a suboptimal user experience.
Innovation Solution
A consumer-to-business messaging system that uses natural language processing to interpret user intent and suggest relevant messaging bot capabilities proactively or reactively, allowing users to engage with services like polls, stickers, and group coordination through a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the messaging system provides many bot capabilities, then the service functionality is improved, but the user's ability to discover and access these capabilities deteriorates
Solution Approach 1:
The system performs preliminary analysis of the messaging context (recent messages, conversation topic, user intent) before the user explicitly requests bot capabilities. This allows the system to proactively identify and present relevant bot capabilities that match the current conversation context, eliminating the need for users to search through all available capabilities.
Solution Approach 2:
The system introduces an intermediary component (bot suggestion module) that acts as a mediator between the user and the extensive bot capability library. This intermediary analyzes the messaging context and filters the large set of available bots to present only those most relevant to the current conversation, simplifying user access while maintaining comprehensive service functionality.
2Loss of information
If the system provides detailed bot capability information, then the information completeness is improved, but the user interface complexity increases
Solution Approach 1:
The system applies local quality by providing different levels of information detail to different users based on their context and needs. Rather than presenting all possible bot capabilities uniformly to all users, the system tailors the information presentation to match the specific messaging context, user preferences, and conversation stage, reducing interface complexity while maintaining information completeness.
Solution Approach 2:
The user interface dynamically adapts its complexity based on the messaging context. The system adjusts the level of detail, organization, and presentation format of bot capability information according to factors such as conversation topic, user interaction history, and current message content, allowing the interface to remain simple when possible while providing comprehensive information when needed.
3Measurement precision
If users must know specific commands or syntax to access bot capabilities, then the system precision is improved, but the ease of operation deteriorates
Solution Approach 1:
The system implements self-service by automatically analyzing the messaging context and identifying appropriate bot capabilities without requiring users to formulate precise commands or know specific syntax. The system's natural language processing capabilities enable it to understand user intent from casual messaging and automatically present relevant bots, eliminating the need for users to learn command syntax while maintaining precise bot selection.
Data Source
AI summary
Exemplary embodiments relate to techniques for suggesting bots or mini-apps in a messaging service that provide capabilities related to an ongoing conversation. A suggestion may be added proactively or reactively. In a reactive scenario, the system may respond to an express request to suggest a response or capability, such as by an explicit command. In the proactive scenario, the messaging service may analyze the messages of the conversation, and may suggest a response or capability based on an intent identified in the messages. Examples of suggestions include starting a poll, adding stickers to the conversation, group coordination and planning capabilities, etc. Suggestions such as these allow a user to make use of various capabilities provided by the messaging service, even if the user does not know that the service exists, or how to invoke it.