Context-Aware Animated Image Positioning for Faster Keyboard Search

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Solution Overview

Problem

Existing dynamic keyboard interfaces lack effective methods to position animated images based on context, user interaction history, and relevance, leading to inefficient user experience and resource utilization.

Innovation Solution

A method and system that determine the position of animated images within a dynamic keyboard interface based on context, user interaction history, and relevance, using data analysis to prioritize and emphasize more relevant images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If animated images are presented in a fixed order within the keyboard interface, then the interface structure remains simple, but user search time increases and relevance is reduced

Engineering Contradiction:
Improveuser search timeVSAvoidinterface structure complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The keyboard interface dynamically repositions animated images based on contextual relevance and user interaction history. The system continuously adapts the display order of animated images in response to changing contexts (different applications, conversation topics, user preferences), transforming the static interface into a dynamic one that optimizes search efficiency without requiring complex manual reorganization by the user.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback loops that monitor user interactions with animated images and use this information to adjust positioning in subsequent displays. By analyzing which images are selected, ignored, or engaged with, the system refines its positioning algorithm to prioritize more relevant images, thereby reducing search time while maintaining adaptive interface complexity.

Inventive Principle:
Principle #23Feedback

2Ease of operation

If the system analyzes context and user interaction history to position animated images, then relevance and user experience improve, but computing resource utilization increases

Engineering Contradiction:
Improveuser experienceVSAvoidcomputing resource utilization
Core Design Contradiction:
Ease of operationVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary analysis of user interaction history and contextual data in advance, building user profiles and contextual models before they are needed for image positioning. By pre-processing and caching this information, the system reduces the computational burden during actual image display and selection, maintaining high relevance while optimizing real-time resource utilization.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts the depth and scope of context analysis based on available computing resources and current operational needs. When resources are abundant, more comprehensive analysis is performed; when resources are constrained, the system relies on pre-computed data and simplified models, thereby maintaining user experience quality while adapting computing resource consumption to current system state.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If animated images are repositioned based on multiple factors (context, history, relevance), then image selection accuracy improves, but the complexity of the positioning algorithm increases

Engineering Contradiction:
Improveimage selection accuracyVSAvoidpositioning algorithm complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The positioning algorithm is segmented into multiple independent modules, each responsible for analyzing a specific factor (contextual relevance, user interaction history, image metadata, application type). Each module produces a scored ranking, and these rankings are combined through a weighted aggregation system. This modular approach maintains high selection accuracy by considering multiple factors while managing algorithmic complexity through structured decomposition and independent processing of each factor.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12386503B2Methods and systems for positioning animated images within a dynamic keyboard interface
Publication Date: 2025.08.12 GOOGLE LLC
  • US12386503B2 patent drawing
  • US12386503B2 patent drawing
  • US12386503B2 patent drawing

AI summary

The present disclosure is directed to positioning animated images within a dynamic keyboard interface. In particular, the methods and systems of the present disclosure can: receive data indicating a selection of a particular animated image from amongst a plurality of different animated images presented by a dynamic keyboard interface provided in association with an application; receive data indicating a context of: the dynamic keyboard interface, and/or the application based at least in part on which the plurality of different animated images was selected for presentation by the dynamic keyboard interface; and determine, based at least in part on the data indicating the selection and the data indicating the context, a position within the dynamic keyboard interface for presenting the particular animated image in response to data indicating a subsequent context of the dynamic keyboard interface, the application, and/or a different and distinct application.