UX Testing with Physiological Triggers for Faster Data Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing user experience (UX) testing methods, such as usability tests and think-aloud protocols, are time-consuming and inefficient due to the extensive analysis of user interactions and feedback, leading to high costs and resource consumption.
Innovation Solution
A computer-implemented method that analyzes a subset of data based on physiological parameters of test subjects during software interaction, limiting data collection to significant changes in arousal or stress indicators, allowing for automated and efficient evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all user interaction data is analyzed for evaluation purposes, then measurement precision is improved, but productivity deteriorates due to time-consuming analysis
Solution Approach 1:
The patent extracts only the most relevant data points for analysis by identifying significant transitions in user interactions. Instead of analyzing all user interaction data, the system selectively extracts data points where state changes occur, thereby maintaining evaluation accuracy while dramatically reducing analysis time and computational resources required.
2Reliability
If comprehensive user feedback is collected, then reliability is improved, but loss of time increases due to extensive data processing
Solution Approach 1:
The system performs preliminary filtering of user interaction data during the testing process itself, identifying and marking significant transitions as they occur. This preliminary action prepares the data in advance, so that when evaluation is needed, only pre-identified relevant data points require processing, significantly reducing the time loss associated with comprehensive data processing while maintaining evaluation completeness.
3Measurement precision
If detailed user behavior data is recorded, then measurement precision is improved, but device complexity increases due to data management requirements
Solution Approach 1:
The patent applies extraction by implementing automated identification of significant transitions that filter detailed user behavior data into manageable significant events. This extraction mechanism maintains measurement precision by capturing all necessary behavioral details while reducing device complexity through automated processing rules that eliminate the need for complex manual data management systems.
Data Source
Figure 1
AI summary
The invention relates to a computer-implemented method for testing the user experience of at least a part, in particular the user interface, of a software program, in which an analysis of data acquired during the execution of a test procedure for at least that part of the software, and which correlates with at least one user activity of a test subject, is limited to a subset of the data based on at least one acquired physiological parameter of the test subject. The invention further relates to an arrangement for carrying out the method.