Dynamic Conversation Segment Management for Context-Aware AI
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Solution Overview
Problem
Existing computer-assisted conversation systems lack flexibility in adapting to changing conversation contexts and scopes, requiring pre-planned conversation segments and lacking dynamic updates based on current information and service changes.
Innovation Solution
The system allows for fine-grained control over conversation segments by addressing them at a granular level, enabling dynamic addition, deletion, or modification of conversation segments based on conversation flow and context changes, including the use of artificial intelligence to match user statements and generate new segments based on current parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conversation segments are pre-planned and fixed, then system reliability is improved, but adaptability deteriorates
Solution Approach 1:
The patent implements dynamic conversation segments that can be activated or deactivated based on conversation context. The system maintains a repository of conversation segments and dynamically selects which segments to activate based on detected conversation topics, user intent, and contextual parameters. This allows the system to maintain reliable predefined responses while adapting to changing conversation contexts by selectively enabling relevant segments.
2Adaptability or versatility
If all possible conversation segments are pre-defined, then completeness is improved, but device complexity deteriorates
Solution Approach 1:
The patent segments the conversation system into modular conversation segments that can be independently managed. Each segment represents a discrete conversational pattern or response template. The system organizes segments into categories and uses contextual analysis to select only the relevant segments for active use, rather than maintaining all possible segments simultaneously. This modular approach reduces effective complexity while maintaining comprehensive conversation coverage.
Solution Approach 2:
The system implements partial action by activating only the necessary subset of conversation segments based on current conversation context. Rather than evaluating or maintaining all possible segments, the system selectively activates segments relevant to the current topic, user intent, and conversation state. This reduces computational overhead and system complexity while maintaining the capability to handle diverse conversation scenarios.
3Adaptability or versatility
If conversation segments are updated dynamically, then adaptability is improved, but loss of information deteriorates
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor conversation context, user responses, and system performance. This feedback is used to dynamically adjust which conversation segments are activated and how they are applied. The system maintains context continuity by using the feedback loop to ensure that segment activations are consistent with the overall conversation flow and user intent, preventing information loss during dynamic updates.
Data Source
AI summary
At least some embodiments described herein relate to computer-assisted conversation. The set of available conversation segments is updated by addressing conversation segments at the granularity of a conversation segment or a group of conversation segments. For instance, an entire class of conversation segments may be addressed to add, delete, turn on, or turn off, the class of conversation segments. Groups of class of conversation segments may also be similarly addressed. Thus, as the scope of a conversation changes, the available set of conversation segments may likewise change with fine-grained control. Accordingly, rather than pre-plan every set of possible conversations, the context and direction of the conversation may be evaluated by code to thereby determine what new sets of conversation segments should be added, deleted, turned on, or turned off. New conversation segments may even be generated dynamically, taking into account the values of parameters that then exist.