Virtual Concierge Interface for Personalized Application Guidance
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Solution Overview
Problem
Existing technologies for dynamically generating consumer interfaces do not effectively guide users through online application processes with personalized and interactive audio and video content.
Innovation Solution
A digital video virtual concierge user interface system that dynamically generates a series of user interface screens with embedded video and audio content, using a server that processes customer data to create personalized content in real-time, and incorporates AI and machine learning to optimize the user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dynamic user interface generation is implemented, then user personalization is improved, but system complexity increases
Solution Approach 1:
The system segments user interface generation into modular components: template selection module, data extraction module, content generation module, and assembly module. Each module handles a specific aspect of personalization, making the complex system manageable and maintainable while delivering high adaptability.
Solution Approach 2:
The system performs preliminary actions by pre-defining interface templates and content structures before user interaction. Templates contain predefined layouts, video placeholders, and form elements that are prepared in advance, enabling rapid personalization without complex real-time generation.
2Ease of operation
If video and audio content are embedded in user interface screens, then user engagement is improved, but processing time increases
Solution Approach 1:
Video and audio content are prepared and pre-processed before being embedded in user interface screens. Media files are pre-encoded, pre-segmented, and pre-synchronized with interface elements, reducing processing time during actual user interaction while maintaining high engagement quality.
Solution Approach 2:
The system uses template-based copying where standardized video and audio elements are reused across multiple interface screens. Instead of generating unique media content for each screen, pre-approved video templates and audio clips are copied and customized with dynamic data, significantly reducing processing time.
3Adaptability or versatility
If real-time personalization is implemented, then customer experience is improved, but computational resources increase
Solution Approach 1:
The system applies local quality by personalizing only specific portions of the user interface rather than generating entirely custom content. Customer data is extracted and applied selectively to relevant fields such as name, account details, and personalized recommendations, while standardized templates handle common interface elements, reducing computational overhead.
Solution Approach 2:
The system uses parameter changes to achieve personalization efficiently. Instead of generating different interface structures, it modifies parameters within existing templates—such as inserting customer names, changing video content identifiers, and adjusting form field values—enabling real-time personalization with minimal computational resources.
4Adaptability or versatility
If multiple path branching is implemented, then process flexibility is improved, but control complexity increases
Solution Approach 1:
The process flow is segmented into discrete, manageable path segments with clear decision points. Each branch represents a distinct user choice or system condition, and control logic is organized into separate modular handlers for each path, making complex multi-branch processes easier to control and maintain.
Data Source
AI summary
There is provided herein a digital video virtual concierge user interface system which dynamically generates a series of user interface screens which the guide users through online application processes with dynamically generated audio and/or video content. The server generates the user interface along a process path defining user interface definitions. A user interface controller steps through the path to generate a user interface screen for each step according to the respective user interface definition thereof and a personalisation controller extracts customer data from a customer database according to a customer identifier and generates personalised content derived from the customer data so that the user interface controller generates at least one user interface screen in accordance with the personalised content.