User Interface Element Recommendations After Inactivity

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Users often face uncertainty when navigating user interfaces, especially when they are unfamiliar with the application or website, leading to hesitation in selecting appropriate interface elements, which can result in confusion and inefficient interaction.

Innovation Solution

A user computing device provides a recommendation for selecting a user interface element based on previous interactions by other users, using visual, audio, or haptic feedback, or modifying the element's features after a predetermined period of inactivity, with assistance from a server computing system that analyzes user interactions and preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a user interface provides multiple user interface elements for selection, then the functionality and options available to the user are improved, but the user becomes uncertain and confused about which element to select

Engineering Contradiction:
ImprovefunctionalityVSAvoiduser uncertainty
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system performs preliminary actions by analyzing user interactions with the user interface before the user encounters difficulty. It monitors which user interface elements are viewed, hovered over, or partially interacted with, and proactively prepares recommendations based on this pre-analyzed behavior pattern and historical data from other users.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by continuously monitoring user interactions with the interface and providing real-time recommendations. When the system detects that a user has viewed or hovered over a user interface element without completing the interaction, it feeds back a recommendation suggesting the next appropriate element to select, based on analyzed interaction patterns.

Inventive Principle:
Principle #23Feedback

2Productivity

If the system provides recommendations to users after a predetermined period of inactivity, then user interaction efficiency is improved, but additional processing and network resources are consumed

Engineering Contradiction:
Improveinteraction efficiencyVSAvoidcomputing resources
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system applies partial action by providing recommendations only in specific scenarios - when a user displays signs of uncertainty (viewing or hovering over elements without selecting) and after a predetermined period of inactivity. This selective approach avoids the excessive resource consumption of providing recommendations continuously or to all users regardless of their interaction state.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system performs preliminary monitoring and analysis of user interactions in the background before the recommendation is actually generated. By pre-processing interaction data and maintaining readiness to provide recommendations, the system reduces the computational burden at the moment of recommendation delivery.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250224860A1Providing a Recommendation for Selection of a User Interface Element of a User Interface
Publication Date: 2025.07.10 GOOGLE LLC
  • US20250224860A1 patent drawing
  • US20250224860A1 patent drawing
  • US20250224860A1 patent drawing

AI summary

A user interface including a plurality of user interface elements is provided to a display of a user computing device. After a predetermined period of time has elapsed in which the user computing device does not receive a selection of one of the plurality of user interface elements, the user computing device provides a recommendation to a user of the user computing device indicating a first user interface element is recommended for selection, wherein the recommendation is based on one or more previous interactions with user interface elements associated with the user interface.