Dynamic User Interface Query Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional service provider platforms are static and employ a one-size-fits-all functionality, which fails to provide a positive user experience, leading to user deterrence and increased fraud risks, as they struggle to balance information gathering with customer engagement and transaction completion.
Innovation Solution
An apparatus and method that categorize users into clusters based on interaction levels, assign priority and response probability values to queries, and dynamically modify the presentation of interactive elements on a computer-implemented interface, optimizing the user experience by removing unanswered queries with low priority and adding high-priority ones based on user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional service provider platforms use a one-size-fits-all static interface, then information gathering for fraud prevention is maintained, but user experience deteriorates and transaction completion rates decrease
Solution Approach 1:
The patent segments users into different clusters based on their interaction levels and behaviors. By dividing the user base into distinct groups (e.g., high-engagement, low-engagement, fraud-prone clusters), the system can present customized query sets to each segment, balancing fraud prevention needs with user experience for each group rather than applying a uniform approach to all users.
Solution Approach 2:
The patent implements dynamic modification of query presentations based on real-time user interactions. The system monitors user responses and adjusts the number, type, and sequencing of queries dynamically during the transaction process. This allows the platform to adapt between collecting sufficient information for fraud prevention and reducing burden for engaged users, resolving the static nature of conventional systems.
2Reliability
If the platform presents more queries to gather sufficient information, then fraud prevention capability is improved, but user engagement decreases and drop-off rates increase
Solution Approach 1:
The patent applies partial action by presenting only a subset of all possible queries to each user based on their cluster assignment and real-time engagement level. Instead of asking all potential questions to every user, the system selectively presents the necessary number of queries (partial action) sufficient for fraud prevention while maintaining user engagement, thereby improving transaction completion rates.
Solution Approach 2:
The patent changes parameters such as the number of queries presented, the type of queries, and the sequencing based on user cluster characteristics and real-time interaction metrics. By dynamically adjusting these parameters, the system optimizes the balance between information gathering for fraud prevention and maintaining user engagement to complete transactions.
3Ease of operation
If the platform reduces the number of queries to improve user experience, then user engagement is maintained, but information gathering for fraud prevention becomes insufficient
Solution Approach 1:
The patent performs preliminary actions by pre-segmenting users into clusters based on their historical interaction patterns and risk profiles before presenting queries. This preliminary classification allows the system to prepare appropriate query sets for each user group in advance, ensuring that high-risk users receive more comprehensive questioning while low-risk engaged users experience a streamlined process, thus maintaining both engagement and fraud prevention.
Solution Approach 2:
The patent implements feedback mechanisms that monitor user responses in real-time and adjust the query presentation accordingly. The system uses user answers to feedback loops that determine whether to continue with additional queries, switch to different query types, or conclude the interaction, thereby dynamically balancing information gathering needs with user engagement levels.
Data Source
AI summary
Techniques and apparatus for an interactive element presentation process are described. In one embodiment, for example, an apparatus may include a storage device and logic, at least a portion of the logic implemented in circuitry coupled to the storage device. The logic may operate to determine a plurality of user clusters, determine a plurality of queries to prompt for user information, assign each of the plurality of queries: a plurality of priority values and a plurality of response probability, present a set of user queries for presentation to a user interacting with the computer-implemented interface based on the plurality of priority values and the plurality of response probability values for the one of the plurality of user clusters associated the user, receive interaction information associated with user interaction with the computer-implemented platform, and modify the set of user queries based on the interaction information. Other embodiments are described.