Chatbot Event Notification System for Proactive User Assistance
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Solution Overview
Problem
Current chatbot systems require user-initiated interactions, limiting their ability to respond proactively to events or conditions generated by software applications, which can lead to missed opportunities for providing timely assistance.
Innovation Solution
Implementing a method where chatbot systems can initiate conversations based on events generated by software applications, using electronic notifications that include user, chatbot, and conversation state information, allowing for automated and context-aware interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If chatbot conversations are initiated only in response to user input, then the system maintains simple operation and clear user control, but the chatbot cannot proactively respond to events or provide timely assistance
Solution Approach 1:
The system performs preliminary actions by monitoring events and conditions in the software environment before the user needs assistance. When conditions are satisfied, the chatbot proactively initiates a conversation, anticipating the user's needs before they explicitly request help.
Solution Approach 2:
The chatbot system serves itself by automatically detecting events and conditions, determining when user assistance is needed, and initiating conversations without requiring explicit user commands. This self-service capability enables proactive assistance while maintaining operational simplicity.
2Reliability
If the chatbot system monitors software application events to initiate conversations, then timely assistance can be provided, but the system complexity increases
Solution Approach 1:
The system introduces an event notification mechanism as an intermediary between the software application and the chatbot. Software applications publish events to a notification system, which the chatbot subscribes to, creating a decoupled architecture that reduces direct complexity while enabling reliable event monitoring and timely response.
3Adaptability or versatility
If multiple chatbots are available to handle different tasks, then task specialization improves, but determining which chatbot to invoke becomes more complex
Solution Approach 1:
The system extracts the chatbot selection logic from the event notification process. Instead of embedding complex selection algorithms in each event handler, the system separates event monitoring from chatbot invocation, allowing the chatbot system to automatically determine which specialized chatbot should handle each event based on its capabilities and the event type.
Data Source
AI summary
Techniques for described for invoking a chatbot in a chatbot system, in response to an event notification from a software application. The event notification can be sent to the chatbot system based on the software application determining that one or more conditions associated with an event are satisfied. In certain embodiments, the event notification contains information indicating a dialog flow state for starting a new conversation between a particular chatbot and a user. The event notification can also identify the user and/or the particular chatbot. In some instances, a prompt is output to the user requesting the user to confirm a start of the new conversation. Whether the prompt is output or not can depend on whether there is an existing conversation between the user and a chatbot in the chatbot system.


