Candidate Snippet Selection for Flexible Smart Replies
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Solution Overview
Problem
Existing intelligent automated assistants lack efficient methods for providing natural-language responses that allow users to select and interact with multiple candidate snippets, limiting the user's engagement and flexibility in their interactions.
Innovation Solution
A system and method for receiving natural-language inputs, providing candidate snippets for user selection, and generating responses based on user input, utilizing a client-server model with client-side and server-side components for processing and output generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a digital assistant provides only a single automated response, then the response generation is simple and fast, but the user's engagement and flexibility are limited
Solution Approach 1:
The response generation process is segmented into multiple candidate snippets (first snippet, second snippet, third snippet) that are generated separately and then presented to the user for selection. This allows the system to provide multiple response options without overwhelming complexity, as each snippet can be generated independently using standardized templates or models.
Solution Approach 2:
The system dynamically adjusts the response generation by allowing users to select from multiple candidate snippets rather than providing a single static response. The display generation component dynamically renders different UI elements (text input field, suggestion chips, or keyboard) based on user interaction, enhancing flexibility while maintaining manageable complexity through conditional rendering.
2Adaptability or versatility
If multiple candidate snippets are provided for user selection, then user engagement and flexibility improve, but the system complexity increases
Solution Approach 1:
The system architecture is segmented into distinct components: a response generation component that creates multiple candidate snippets, a display generation component that renders the UI, and an input receiving component that captures user selection. This modular segmentation allows each component to handle its specific task independently, reducing overall system complexity while enabling multiple candidate snippets.
Solution Approach 2:
The display generation component serves multiple functions: it can display text input fields, suggestion chips, or keyboard interfaces depending on the context. This multi-functionality allows the system to provide diverse interaction modes (typing, selection, or keyboard input) without requiring separate dedicated components for each mode, thereby managing complexity while enhancing user engagement.
3Adaptability or versatility
If the system waits for user selection from multiple snippets, then response flexibility improves, but the response time increases
Solution Approach 1:
Multiple candidate snippets are generated and displayed to the user in advance, before the user needs to make a selection. This preliminary generation of response options allows the user to quickly review and choose from pre-prepared snippets rather than waiting for generation after selection, thereby reducing the perceived response time while maintaining flexibility.
Solution Approach 2:
The system provides self-service by presenting multiple ready-made candidate snippets that users can select with a single action. This eliminates the need for users to manually craft responses or wait for complex generation processes, as the system has already prepared multiple viable options that can be instantly deployed upon selection, minimizing time loss while maximizing flexibility.
Data Source
AI summary
Example methods for providing natural-language replies are disclosed herein. An example method includes receiving a natural-language input; providing, via the display generation component, a set of candidate snippets based on the natural-language input, wherein each candidate snippet of the set of candidate snippets corresponds to a respective response to the natural-language input; receiving, via the one or more input devices, an input corresponding to a selection of a candidate snippet of the set of candidate snippets; and providing, via the display generation component, a response to the natural-language input corresponding to the selected candidate snippet.