Virtual Assistant Real-Time Visualization System
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Solution Overview
Problem
Intelligent virtual assistants (IVAs) often lack real-time data during interactions, leading to unsatisfactory user experiences as they can only provide outdated information or direct users to external websites for current data, forcing users to leave the conversation.
Innovation Solution
A system that monitors conversations between users and IVAs, dynamically generating visualizations based on current topics by querying real-time data sources, including internal and external data, to provide relevant information directly within the IVA interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the IVA provides only pre-stored information, then the system complexity is low, but the information timeliness deteriorates
Solution Approach 1:
The system segments information delivery into two pathways: pre-stored information for general queries and real-time external data retrieval for time-sensitive topics. This segmentation allows the IVA to maintain low complexity for routine operations while enabling high timeliness when needed, resolving the contradiction between system simplicity and information freshness.
Solution Approach 2:
The IVA dynamically adjusts its information retrieval strategy based on conversation context and topic identification. When real-time information is detected as necessary, the system activates external data sources; otherwise, it relies on pre-stored information. This dynamic adaptation enables the system to optimize between complexity and timeliness based on actual operational needs.
2Reliability
If the IVA directs users to external websites for real-time information, then the information accuracy is improved, but the user engagement deteriorates
Solution Approach 1:
The system acts as an intermediary by retrieving real-time information from external sources and presenting it within the IVA interface. This mediator role allows users to access accurate external data without leaving the conversation flow, maintaining both information accuracy and user engagement simultaneously.
Solution Approach 2:
The IVA merges real-time external data with the conversational interface, combining the benefits of external information sources with the user-friendly chat environment. This integration allows users to receive accurate real-time information while remaining engaged in the conversation, eliminating the need to navigate away to external websites.
3Loss of information
If the IVA provides real-time information from external sources, then the information relevance is improved, but the data retrieval time increases
Solution Approach 1:
The system performs preliminary actions by pre-identifying topics that require real-time information and preparing data retrieval strategies in advance. This preliminary preparation reduces the actual retrieval time when real-time information is needed, balancing information relevance with response speed.
Solution Approach 2:
The IVA changes operational parameters dynamically, switching between different data retrieval modes (pre-stored vs. real-time external) based on conversation context. This parameter adjustment optimizes the balance between information relevance and retrieval time, activating external sources only when necessary to minimize time loss.
Data Source
AI summary
A real-time conversation is monitored between a user and an intelligent virtual assistant (IVA). A visualization may be generated and displayed to the user on the user computing device based on one or more topics identified in the conversation. The conversation between the user and the IVA may continue and is continued to be monitored. The visualization can be updated as the conversation continues, e.g., based on further topics being identified.