User Interface Efficiency Evaluation via Transaction Point Scoring
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Solution Overview
Problem
Existing user interfaces often lack efficient evaluation methods, leading to user dissatisfaction and reduced productivity, as they do not effectively quantify the efficiency of user interactions, which can impact user experience and application adoption.
Innovation Solution
A system that evaluates user interface efficiency by generating scores for user flows based on transaction points and user actions, using efficiency weights for different types of actions, allowing for comparison across users and application versions, and providing actionable feedback for improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional user interface evaluation methods are used, then implementation is simple, but measurement precision of user interface efficiency is insufficient
Solution Approach 1:
The patent segments user interface evaluation into discrete transaction points and action types. Each user interaction is broken down into specific events (page views, clicks, form submissions) that can be independently tracked and measured. This segmentation enables precise measurement of efficiency metrics while maintaining manageable system complexity through modular data collection and analysis.
Solution Approach 2:
The patent introduces an intermediary evaluation system that sits between the user interface and the analysis process. This intermediary layer captures user actions, assigns efficiency weights, and generates scores without requiring direct modification of the underlying application code. This mediator approach enables precise measurement while keeping the evaluation infrastructure separate and manageable.
2Productivity
If detailed tracking of user actions is implemented, then productivity measurement improves, but loss of time for data collection increases
Solution Approach 1:
The patent implements preliminary action by pre-defining transaction points and action types before user interactions occur. The system is configured in advance with the specific events to track and the efficiency weights to apply. This preconfiguration enables real-time or near-real-time measurement of user productivity without adding significant overhead during actual user sessions, as the tracking framework is already in place.
Data Source
AI summary
A method for evaluating user interface efficiency includes discerning user actions with the user interface occurring between each of a plurality of adjacent pairs of transaction points. Those adjacent pairs of transaction points are evaluated to identify a given one of a plurality of user flows associated with the user interface. The identified user actions occurring between each adjacent pair of transaction points are assessed to calculate an efficiency score. The efficiency score is associated with the identified user flow and is indicative of user interface efficiency.