Adaptive Data Visualization System for Dynamic Context Classification

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Solution Overview

Problem

Conventional Business Intelligence tools and dashboards are static, failing to adapt to user queries beyond predefined content, leading to user overwhelm or under-informed decision-making, as they lack dynamic contextual navigation and the ability to anticipate follow-up questions.

Innovation Solution

A system that uses a presentation computing device with generative models and neural networks to detect user intent, dynamically modify presentations, and recommend next best questions by analyzing audio and video inputs, allowing for adaptive and intuitive data visualization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If predefined presentations and dashboards are used, then the structure and content are fixed and easy to navigate, but they cannot answer questions not already built into the content and users are overwhelmed or under informed

Engineering Contradiction:

Improveadaptability to user queriesVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic presentations that automatically adjust content, structure, and visualization based on real-time analysis of user queries and contextual factors. The system transitions from static predefined dashboards to adaptive presentations that evolve during the presentation based on audience questions and engagement metrics

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates multiple feedback loops including real-time analysis of audience questions, eye-tracking data, and engagement metrics to continuously adjust the presentation content. This feedback mechanism enables the presentation to adapt to user needs while maintaining manageable complexity through automated processing

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If conventional data visualizations are prebuilt, then they provide structured information, but they cannot anticipate follow-up questions or provide drilldown capabilities

Engineering Contradiction:

Improvecapability to handle follow-up questionsVSAvoidtime for manual updates

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-processing data into multiple hierarchical levels and preparing potential drilldown paths in advance. This allows the system to quickly respond to follow-up questions without real-time processing delays, as the data structure is already optimized for various analysis paths

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The presentation system automatically generates follow-up visualizations and drilldown content without requiring manual intervention. The AI-driven system self-manages the creation and delivery of additional information based on detected user interest and query patterns

Inventive Principle:

Principle #25Self-service

3Ease of operation

If static slides with fixed information hierarchy are used, then the content is stable and easy to prepare, but users must learn the hierarchy before effectively navigating to their point of interest

Engineering Contradiction:

Improveease of navigationVSAvoidlearning curve time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The information hierarchy dynamically reconfigures itself based on detected user interest and query patterns. The system automatically adjusts the presentation structure to prioritize relevant information, eliminating the need for users to learn a fixed hierarchy while maintaining ease of navigation through adaptive organization

Inventive Principle:

Principle #15Dynamics

4Adaptability or versatility

If context determination is parameterized in conventional technology, then the implementation is straightforward, but context determination cannot be done dynamically

Engineering Contradiction:

Improvedynamic context determinationVSAvoidcontext analysis complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements continuous feedback loops that capture audience questions, eye-tracking data, and engagement metrics to dynamically update context understanding. This feedback mechanism enables real-time context determination while managing complexity through automated processing and pattern recognition

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10762902B2Method and apparatus for synthesizing adaptive data visualizations

Publication Date: 2020.09.01 CISCO TECHNOLOGY INC

AI summary

A system to dynamically update presentations based on context classification of voice inputs, comprising: a storage device and a processor communicatively coupled to the storage device, wherein the processor executes application code instructions that are stored in the storage device to cause the system to: display a first graphical user interface associated with a first context via a user interface, obtain a first voice input, determine one or more first terms from the first voice input, determine that the first voice input is related to a first context based on the one or more first terms, and in response to determining that the first voice input is related to the first context: modify the first graphical user interface associated with the first context and display the modified first graphical user interface associated with the first context via the user interface.