Contextually-adaptive conversational interface for dynamic rule modification
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Solution Overview
Problem
Conversational interfaces are limited in their ability to adapt to runtime customizations and changes in workflows, leading to inefficiencies when users need to perform tasks like scheduling meetings or uploading files, as they rely on predefined responses and cannot reflect real-time changes in user requests.
Innovation Solution
A contextually-adaptive conversational interface system that identifies semantic content and contextual metadata in user requests, modifies rules dynamically to require additional or exclude attribute values, allowing for real-time adaptation of workflows and user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a conversational interface uses predefined responses configured at deployment, then the system structure is simple and stable, but the system cannot adapt to runtime customizations and workflow changes
Solution Approach 1:
The patent implements dynamic rule evaluation where the conversational interface evaluates rules at runtime based on current workflow states and entities. The rule evaluation engine dynamically determines which rules apply to user requests based on runtime context, allowing the system to adapt to workflow changes without redeployment. This transforms the static predefined response system into a dynamic, context-aware system that can respond to runtime customizations.
Solution Approach 2:
The system changes parameters by evaluating rules against runtime states and entities rather than relying on fixed configurations. The rule evaluation process dynamically adjusts system behavior based on current workflow parameters, allowing the conversational interface to adapt to different runtime conditions without structural changes to the system architecture.
2Adaptability or versatility
If workflows are re-configured and customized at runtime, then the system becomes more flexible and adaptable, but the conversational interface interactions do not reflect these runtime customizations
Solution Approach 1:
The patent implements a feedback mechanism where the rule evaluation engine continuously evaluates rules based on runtime workflow states and entities. When workflows are re-configured at runtime, the system evaluates the updated workflow definition against user requests, ensuring that conversational interface interactions automatically reflect the latest workflow customizations. This feedback loop maintains consistency between workflow configurations and interface behavior.
Solution Approach 2:
The system performs preliminary evaluation of rules against runtime workflow definitions before processing user requests. By pre-evaluating which rules apply based on current workflow states, the system ensures that when workflows are customized at runtime, the conversational interface is already prepared to reflect these changes in its interactions with users.
3Productivity
If a complex redeployment of the conversational interface is required to reflect workflow changes, then the system maintains stability and predefined behavior, but the productivity and response time to accommodate new requirements decrease
Solution Approach 1:
The patent implements a self-service mechanism where the rule evaluation engine automatically evaluates rules against runtime workflow definitions without requiring external redeployment or configuration changes. When workflows are customized, the system autonomously adapts by evaluating the updated workflow states and entities, eliminating the need for complex redeployment processes and enabling immediate response to new requirements.
Solution Approach 2:
The system transforms from a static, redeployment-dependent model to a dynamic, runtime-adaptive model. The rule evaluation engine dynamically adjusts conversational interface behavior based on current workflow definitions, allowing the system to respond to workflow changes immediately without the complexity and time overhead of redeployment processes.
4Adaptability or versatility
If the conversational interface relies on predefined workflows configured at deployment, then the system is easier to implement and maintain, but it limits the utility for performing custom business tasks
Solution Approach 1:
The patent implements a universal rule evaluation mechanism that can handle multiple workflow types and custom business tasks through a single adaptive system. The rule evaluation engine evaluates rules against any runtime workflow definition, allowing the conversational interface to perform both predefined and custom tasks without requiring separate implementations for each workflow type, thus maintaining ease of implementation while expanding utility.
Data Source
AI summary
Techniques for modifying rules for completing requests using a conversational interface are disclosed. A conversational interface receives a user request to perform a particular function. A system extracts semantic content from the request and obtains contextual metadata associated with the request. Using the semantic content and contextual metadata, the system generates a data set of attribute values. The system determines whether the data set matches a data set of required data attributes associated with the request. If the provided data set is different than the required data set, the system determines whether to modify a set of rules associated with the request. The set of rules specifies which attribute values are required to complete the request. When the system modifies the rules associated with the request, the system also determines whether to apply the rule modification to subsequent requests by the same user and other users.