Digital User Experience Evaluation System with Friction Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to accurately and reliably evaluate digital user experience across different user interfaces, leading to inaccurate comparisons and poor decision-making for users and service providers.
Innovation Solution
A system and method that acquire usage information from user devices, analyze it to determine scores for user interactions, calculate a friction score, and generate visual representations for ranking user interfaces, allowing for improved evaluation and comparison of digital user experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing systems capture user interaction data, then they can evaluate digital user experience, but the evaluation becomes inaccurate and unreliable due to wrong data capture
Solution Approach 1:
The patent extracts and filters out only the relevant user interaction data that requires user input, discarding unnecessary data from interfaces that do not require user input. This extraction process ensures that the evaluation is based on accurate and reliable data, resolving the contradiction between measurement precision and reliability by removing wrong data capture.
Solution Approach 2:
The patent applies different evaluation criteria to different user interfaces based on their specific characteristics. By analyzing the local quality of each interface (whether it requires user input or not), the system can accurately evaluate each interface's user experience without being misled by irrelevant data, thus improving both accuracy and reliability.
2Productivity
If the system analyzes all user interactions, then it can provide comprehensive evaluation, but it includes unnecessary data from interfaces that do not require user input
Solution Approach 1:
The system extracts only the necessary user interaction data from interfaces that require user input and excludes data from interfaces that do not require user input. This selective extraction improves productivity by focusing analysis on relevant interactions while preventing loss of information through irrelevant data inclusion.
Solution Approach 2:
The patent changes the parameters used for data collection and analysis based on the type of user interface being evaluated. By adjusting the evaluation parameters to match the specific characteristics of each interface (whether it requires user input or not), the system achieves efficient and accurate evaluation without unnecessary data processing.
3Ease of operation
If the system compares multiple user interfaces, then it can help users make informed decisions, but existing systems cannot accurately quantify and compare different user interfaces
Solution Approach 1:
The patent applies localized evaluation quality to each user interface, analyzing them individually based on their specific characteristics. This local quality approach enables precise comparison of multiple interfaces by ensuring each is evaluated according to its own merits, thereby improving both the precision of comparison and the ease of user interface selection.
Solution Approach 2:
The system provides feedback to users in the form of ranked comparisons between user interfaces, enabling informed decision-making. By delivering precise measurement results through visual representations and rankings, the system improves both the precision of comparison and the ease of selection for users.
Data Source
AI summary
A system for evaluating digital user experience in a user session includes a server communicatively coupled to user devices. The server acquires usage information of different applications of service providers associated with common service from user devices and analyses the usage information to determine a set of scores for each of the different applications. The analysis of usage information includes detecting and discarding a portion of the usage information for one or more first user interfaces of each application that do not require any user input. The server further determines a friction score for a given journey for each of the different applications and generates first visual representation. The server further controls display of generated first visual representation such that a ranking of the different applications of different service providers is indicated in accordance with the determined friction score.