Chatbot-Driven Interface Prefill for Multi-Screen Navigation Bottlenecks
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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 configures and populates digital interfaces by predicting candidate input values for interface elements based on message data exchanged during a chatbot session, generating and transmitting messaging data to the device, and storing populated interface data without requiring rendering across multiple screens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If chatbots use traditional interface configuration methods on devices with limited display capabilities, then the interface can be fully rendered, but the device's limited display and input capabilities are overwhelmed
Solution Approach 1:
The patent extracts the interface configuration and population process from the device side and moves it to the server side. The server dynamically configures and populates interface elements based on chatbot session data, then transmits only the necessary populated interface data to the device. This extraction resolves the contradiction by preventing the device from needing to handle complex rendering of entire interfaces, thus maintaining reliability while respecting limited device capabilities.
Solution Approach 2:
The server performs preliminary configuration and population of interface elements before transmitting them to the device. By pre-configuring interface elements with relevant data based on chatbot session context, the server prepares the interface in advance, reducing the computational burden on the device during actual interaction. This preliminary action ensures reliable interface configuration while adapting to device limitations.
2Loss of information
If complex digital interfaces are rendered across multiple screens, then all interface elements are visible, but the user interaction becomes cumbersome and time-consuming
Solution Approach 1:
The patent applies local quality by dynamically populating only the specific interface elements that are relevant to the current chatbot session context, rather than rendering entire interfaces. The server identifies and populates only the necessary interface elements based on session data, transmitting compact populated interface data to the device. This approach maintains information completeness for the current context while eliminating the need for extensive screen navigation, thus reducing time loss.
Solution Approach 2:
The interface is segmented into individual populateable elements that can be independently configured and transmitted. Instead of treating the interface as a monolithic structure requiring full rendering, the system breaks it down into discrete elements that can be selectively populated and transmitted based on chatbot session needs. This segmentation allows complete relevant information delivery without requiring multi-screen rendering.
3Adaptability or versatility
If chatbots dynamically adapt interfaces to user context, then user engagement improves, but the system complexity increases
Solution Approach 1:
The server acts as an intermediary between the chatbot session data and the interface elements. It receives chatbot session data, dynamically determines which interface elements to configure and populate, and transmits the resulting populated interface data to the device. This intermediary approach enables high interface adaptability based on user context while centralizing the complexity on the server side, keeping the device side simple.
Solution Approach 2:
The system implements dynamic interface configuration where interface elements are populated based on real-time chatbot session context. The server continuously adapts the interface content according to the evolving conversation and user needs, transmitting updated populated interface data as necessary. This dynamic approach enhances adaptability while maintaining manageable system complexity through server-side processing.
Data Source
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.