Adaptive Account Navigation Using Intent-Based Search
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing user interfaces for navigating user account data, such as banking applications, often suffer from linear navigation designs that lead to repeated user actions, longer transaction times, and limited user interaction scope, resulting in suboptimal user experience.
Innovation Solution
Implementing dynamic user interfaces that adapt to individual user behavior and preferences by integrating interaction models, allowing for personalized query functionality that provides expedient access to relevant account operations and search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a linear navigation design is used for user interface, then the application follows a structured step-by-step flow, but it leads to repeated user actions and longer transaction times
Solution Approach 1:
The patent implements dynamic user interfaces that adapt to individual user behavior and preferences by integrating interaction models. The navigation interface dynamically adjusts based on user intent, allowing users to skip intermediate steps and directly access relevant account operations, thereby reducing transaction time while maintaining ease of operation for those who prefer structured guidance.
Solution Approach 2:
The system performs preliminary actions by pre-loading and pre-positioning relevant account data and operations based on predicted user intent. The interaction model anticipates user needs and prepares the navigation interface in advance, allowing users to quickly access frequently needed functions without following the complete linear navigation path.
2Ease of operation
If a linear navigation design is used for user interface, then the application provides step-by-step guidance, but it limits the scope of user interaction
Solution Approach 1:
The patent creates a universal navigation system that serves multiple functions: it provides structured step-by-step guidance for users who need it, while simultaneously enabling direct access to account operations for users who prefer efficiency. The interaction model adapts to different user preferences and contexts, making the interface versatile enough to accommodate various interaction styles and scopes within a single system.
Solution Approach 2:
The navigation interface dynamically adjusts its behavior based on user intent and interaction patterns. It can switch between providing structured guidance and enabling direct access, thereby expanding the scope of user interaction to include both guided and unguided modes depending on what the user needs at any given moment.
3Productivity
If dynamic user interfaces are implemented to adapt to user behavior, then user interaction efficiency is enhanced, but system complexity increases
Solution Approach 1:
The patent introduces an interaction model as an intermediary layer between the user interface and the underlying system. This interaction model captures user behavior patterns and preferences, translating them into adaptive interface responses. By placing this intermediary in place, the system manages complexity centrally in the interaction model rather than dispersing it throughout the entire interface architecture, thereby maintaining productivity gains while controlling overall system complexity.
Data Source
AI summary
A processor-implemented method is disclosed. The method may include: performing a first data transfer for transferring data from a user account to a recipient account; updating an interaction model for the user account based on the first data transfer, the interaction model including definitions of user intents associated with account operations that are initiated in connection with the user account and arguments associated with the user intents, and wherein updating the interaction model comprises: configuring the interaction model to support at least one of a new user intent for transferring data from the user account or a new argument for an existing user intent defined in the interaction model; receiving, from a client device associated with the user account, a query having at least one query term; determining, based on the updated interaction model and the at least one query term, that the query maps to a user intent, defined in the updated interaction model, that is associated with the first data transfer; and in response to determining that the query maps to the user intent associated with the first data transfer, providing, to the client device for display thereon, an actionable search result for initiating a second account operation based on the first data transfer.