Context-Aware Visualization Selection System
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Solution Overview
Problem
Conventional enterprise visualization software lacks effective mechanisms for custom visualization construction, often relying on data characteristics, which can lead users to select inappropriate visualizations due to lack of insight into desired relationships, resulting in uninformed decision-making.
Innovation Solution
A method that uses context information, such as user job role and business tasks, to guide the selection of visualization types and data attributes, providing intuitive options through a decision tree and visualization picker to facilitate the generation of context-relevant visualizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional visualization software provides a large list of available visualization types, then users have more options to choose from, but users become overwhelmed and cannot select appropriate visualizations
Solution Approach 1:
The system dynamically changes the parameter of visualization options presented to users based on context information such as user role, data type, and business task. Instead of showing all possible visualizations, the system filters and prioritizes options to match the current context, making the interface adaptive rather than static
Solution Approach 2:
The system performs preliminary analysis of context information (user role, data characteristics, business objectives) before presenting visualization options. This pre-processing of contextual data allows the system to pre-filter and organize visualization choices, so users receive a curated list rather than an overwhelming comprehensive list
2Productivity
If users rely on guesswork to select visualizations, then they can make selections quickly, but decision-making quality deteriorates due to lack of critical insight
Solution Approach 1:
The system incorporates feedback loops that analyze user selections and contextual information to refine future recommendations. By monitoring what visualizations users choose and how they interact with them, the system learns to provide better-suggested options that balance speed of selection with quality of insight
Solution Approach 2:
The system acts as an intermediary between raw data and user decision-making by introducing context-aware recommendations as a mediating layer. This intermediary process translates complex data characteristics and business context into guided visualization suggestions, preventing both random guesswork and overwhelming analysis
3Ease of manufacture
If visualization software relies on data characteristics to drive visualization creation, then visualizations are tailored to source data, but users cannot select visualizations that reveal desired relationships
Solution Approach 1:
The system transitions from a static, data-driven visualization selection model to a dynamic model that incorporates multiple factors including user intent, business context, and data characteristics. The visualization recommendations dynamically adjust based on the interaction between these factors, allowing both automated generation and user-directed customization
Data Source
AI summary
A system and method for facilitating rendering a user interface display screen or portion thereof. An example method includes determining context information associated with a user, wherein the context information includes use job role information; and employing the context information to select one or more visualization types from a set of available visualization types. The method may further include using the context information to provide one or more first user options to select one or more categories of data pertaining to a business task; referencing the one or more categories to facilitate determining one or more data attributes, dimensions, or measures associated with the context information; utilizing the one or more data attributes and the context information to select the one or more visualization types from the set of available visualization types; and providing a second user option to choose a visualization type from among selected visualization types.