User Experience Quality Determination via Metric Mapping
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Solution Overview
Problem
Current methods are inadequate for effectively quantifying the quality of user experience for products, failing to classify different constructs of user experience and provide actionable recommendations for improvement.
Innovation Solution
A method involving the receipt of an evaluation report with multiple metrics, mapping these metrics to specific product parameters using a trained machine learning model, and generating recommendations for improving user experience based on identified areas for improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current user experience measurement methods are used, then user experience can be qualitatively assessed, but it cannot be effectively quantified to determine quality
Solution Approach 1:
The patent segments user experience into distinct constructs (e.g., ease of use, efficiency, satisfaction) and measures each construct separately with specific metrics. This segmentation allows for precise quantification of different aspects of user experience while preserving the information about what each aspect represents, resolving the contradiction between measurement precision and information loss.
2Measurement precision
If traditional user research quantification methods are used, then statistical significance can be checked, but actionable recommendations cannot be provided
Solution Approach 1:
The patent implements a feedback mechanism where measurement results are translated into actionable recommendations that feed back into the product design and improvement process. The system not only quantifies user experience with statistical rigor but also provides specific, actionable insights that guide designers and developers in making improvements, thus resolving the contradiction between measurement precision and ease of obtaining actionable recommendations.
3Adaptability or versatility
If multiple user experience constructs are measured, then comprehensive assessment is achieved, but effective classification and quantification becomes impossible
Solution Approach 1:
The patent changes the parameters of measurement by using standardized metrics and scales for each user experience construct (e.g., Likert scales for satisfaction, task completion time for efficiency). This standardization allows comprehensive coverage of multiple constructs while maintaining manageable system complexity through consistent measurement approaches across different constructs.
Data Source
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AI summary
A method (200), and a device (100) for determining a quality of a user experience of a product is provided. In one aspect, the method (200) includes receiving an evaluation report of the user experience of the product, wherein the evaluation report comprises a plurality of evaluation metrics. Further, the method (200) includes mapping the evaluation metrics of the evaluation report to at least one parameter from a set of parameters associated with the product. Additionally, the method (200) includes computing a score associated with the at least one parameter based on the mapped evaluation metrics. The method (200) also includes determining a cumulative score associated with the user experience of the product based on the computed score associated with the at least one parameter. Furthermore, the method (200) includes determining the quality associated with the user experience of the product based on the cumulative score.