Roadside Assistance UI Flow Using Confidence-Based Data Collection
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Solution Overview
Problem
Existing software-based and mobile device-based systems for requesting roadside assistance require users to navigate through static and inflexible menus and data fields, leading to inefficient and time-consuming data entry processes.
Innovation Solution
A dynamic, data-driven system that utilizes real-time data from remote servers to minimize user interactions by automatically pulling and analyzing data, dynamically selecting data objective representations, and issuing roadside assistance requests based on confidence threshold satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static and inflexible menu system is used for data entry, then data collection completeness is ensured, but user interaction time and complexity increase
Solution Approach 1:
The patent implements a dynamic user interface that adapts its data collection requirements based on real-time analysis of user data. The system transitions from static pre-defined menus to dynamic representations that adjust according to confidence thresholds, reducing unnecessary user interactions while maintaining data completeness through conditional field display and automatic data retrieval.
Solution Approach 2:
The system automatically retrieves and analyzes user data from multiple sources without requiring manual navigation through all menu options. The automated data collection and confidence threshold evaluation enable the system to self-determine which additional information is needed, eliminating redundant user interactions while ensuring complete data collection.
2Measurement precision
If comprehensive user data collection is required, then service request accuracy is improved, but number of user interactions increases
Solution Approach 1:
The system implements a feedback mechanism where user data is automatically analyzed against confidence thresholds. Based on the confidence level determination, the system dynamically adjusts the user interface to request only the specific additional information needed, rather than requiring all possible data fields. This feedback loop maintains high service request accuracy while minimizing user interaction burden.
Solution Approach 2:
The patent changes the parameter of data collection from a fixed comprehensive set to a dynamic set that adjusts based on confidence thresholds. The system monitors data quality metrics and adapts its information requirements in real-time, requesting additional parameters only when confidence levels indicate necessity, thereby maintaining accuracy while improving ease of operation.
3Loss of time
If automated data retrieval is implemented, then user interaction time is reduced, but system complexity increases
Solution Approach 1:
The system performs preliminary automated data retrieval and analysis before presenting the user interface. By pre-fetching available user data and evaluating confidence thresholds in advance, the system reduces real-time processing requirements and minimizes the complexity visible to the user, while still achieving rapid data collection and accurate service request generation.
Data Source
AI summary
A computer-implemented method for dynamic, data-driven consolidation of user interface interactions requesting roadside assistance. The method includes identifying a data objective requiring user data, accessing user data, and determining whether the user data satisfies a confidence threshold. Based at least in part on the confidence threshold determination, one of a first data objective representation and a second data objective representation is displayed. A request for roadside assistance—following satisfaction of the confidence threshold—is also issued.