Chatbot Interface Population for Limited-Screen Devices

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Solution Overview

Problem

Existing chatbots struggle to efficiently configure and populate complex digital interfaces on devices with limited display and input capabilities, such as smartphones and wearable devices, during programmatically established sessions.

Innovation Solution

A computing system dynamically predicts candidate input values for interface elements and generates corresponding messaging data to populate the interface elements without requiring rendering on the device, using natural language processing and predictive algorithms to adaptively handle user inputs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If chatbots use traditional interface configuration methods on devices with limited capabilities, then the interface can be fully rendered and interacted with, but the device's limited display and input capabilities are overwhelmed and user engagement decreases

Engineering Contradiction:

Improveuser engagementVSAvoidinterface complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The digital interface is divided into essential elements that must be rendered on the device and non-essential elements that are populated programmatically through chatbot sessions. This segmentation allows the interface to be simplified for limited-capability devices while still providing comprehensive functionality through the chatbot interaction layer.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

A chatbot session acts as an intermediary between the user and the complex interface elements. Instead of requiring users to directly interact with complex interface elements on limited-capability devices, the chatbot mediates by receiving user inputs, processing them, and programmatically populating the interface elements based on the conversation context.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If chatbots programmatically populate interface elements during sessions, then user interaction is enhanced, but the system requires complex predictive algorithms and natural language processing

Engineering Contradiction:

Improveinterface adaptabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system pre-defines the structure and types of interface elements that may be populated during chatbot sessions. By establishing the framework in advance and using predictive algorithms to anticipate user needs based on conversation context, the system reduces the complexity of real-time processing while maintaining high adaptability.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The chatbot system continuously analyzes user inputs and conversation context to dynamically determine which interface elements should be populated and with what values. This feedback mechanism allows the system to adapt to user needs in real-time while maintaining a manageable level of complexity through iterative processing.

Inventive Principle:

Principle #23Feedback

3Reliability

If the system renders all interface elements on the device, then complete functionality is available, but devices with limited capabilities experience performance degradation

Engineering Contradiction:

Improvefunctionality completenessVSAvoiddevice performance

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

Complex interface elements that are not essential for basic device operation are extracted from the rendered interface and made available only through programmatic population during chatbot sessions. This extraction allows the device to maintain optimal performance while still providing complete functionality when needed, as elements are loaded dynamically based on conversation context rather than being pre-rendered.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20260106848A1Dynamic configuration and population of digital interfaces during programmatically established chatbot sessions

Publication Date: 2026.04.16 THE TORONTO DOMINION BANK

AI summary

The disclosed exemplary embodiments include computer-implemented systems, apparatuses, and processes that dynamically configure and populate a digital interface based on sequential elements of message data exchanged during a chatbot session established programmatically between an apparatus and a device. For example, the apparatus may generate first messaging data that includes a candidate input value for an interface element of a digital interface, and transmit the first messaging data to the device during the programmatically established chatbot session. The apparatus may also receive, from the device during the programmatically established chatbot session, second messaging data that includes a confirmation of the candidate input value. Based on the second messaging data, the apparatus may generate populated interface data that associates the interface element with the confirmed candidate input value, and store the populated interface data within a memory.