Visual Simulation of Common Interaction Paths for GUI Evaluation
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Solution Overview
Problem
Evaluating the impact of GUI modifications on user interactions is time-intensive and challenging for administrators, as they need to manually review and compare numerous user experiences to determine similarities and differences.
Innovation Solution
A system that records interaction events, aggregates common events, determines common interaction paths, and simulates these paths to provide a visual representation of user interactions, allowing for quick analysis of user interface usage without individual manual review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If administrators manually review and compare user experiences to evaluate GUI impact, then they can identify similarities and differences in user interactions, but the process becomes time-intensive and difficult especially with large numbers of users
Solution Approach 1:
The system creates visual simulations that are copies or representations of actual user interaction paths. Instead of manually reviewing raw interaction data, administrators view simulated visual representations that replicate user journeys through the GUI, enabling accurate evaluation without time-consuming manual analysis
Solution Approach 2:
The system introduces an intermediary processing layer that automatically analyzes interaction events, identifies common patterns, and generates visual simulations. This intermediary handles the time-consuming comparison and pattern recognition tasks, allowing administrators to receive pre-processed evaluation results without performing manual comparisons
2Adaptability or versatility
If administrators manually analyze user interaction data to determine similarities and differences, then they can evaluate GUI effectiveness, but the task becomes increasingly difficult with large numbers of users
Solution Approach 1:
The system generates visual simulations that copy actual user interaction sequences, making complex interaction patterns visible and comprehensible. These visual representations transform abstract interaction data into intuitive graphical formats that can be easily analyzed regardless of the number of users
Solution Approach 2:
The system merges multiple individual user interaction paths into aggregated visual simulations that show common patterns. By combining and overlaying interaction data from multiple users, the system identifies shared behaviors and common pain points while reducing the complexity of analyzing individual trajectories
3Loss of information
If detailed user interaction data is collected to accurately evaluate GUI usage, then comprehensive insights can be obtained, but the amount of data to be reviewed increases significantly
Solution Approach 1:
The system extracts and isolates the most significant interaction events from large volumes of raw data. By identifying and extracting common interaction patterns and key user actions, the system creates condensed visual simulations that retain essential information while eliminating redundant data
Solution Approach 2:
The system segments interaction data into discrete interaction events and organizes them into structured sequences. This segmentation allows the system to process large volumes of data by breaking them into manageable units that can be individually analyzed and then reassembled into meaningful visual simulations
Data Source
AI summary
A method may include determining a plurality of sets of interaction events, each set of interaction events associated with a use of a user interface. Determining common interaction events among the sets. Determining a common interaction path including an ordered sequence of the common interaction events. Providing a simulation associated with the common interaction path including rendering the common interaction events in the ordered sequence.