Adaptive Assistant GUI for Proactive Scheduled Task Completion

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Solution Overview

Problem

Existing automated assistants often require users to manually perform multiple tasks associated with a reminder or request, leading to duplicative interactions and wastage of computational resources, as they typically only repeat the user's request without providing supplemental data or assistance.

Innovation Solution

An automated assistant dynamically renders a customizable graphical user interface (GUI) that identifies and proactively completes tasks associated with a user's request, utilizing machine learning and heuristic processes to gather data from various sources, and updates the GUI based on task completion status, thereby eliminating redundant user interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the automated assistant only repeats the user's request without supplemental data or assistance, then the interaction is simple and direct, but the user must manually perform multiple tasks and computational resources are wasted through duplicative interactions

Engineering Contradiction:

Improveuser interaction simplicityVSAvoidtask completion efficiency

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The automated assistant proactively identifies and performs preliminary actions by gathering relevant data from multiple sources (weather applications, calendar applications, messaging applications) before the user needs to manually complete tasks. This preliminary data collection and processing eliminates the need for duplicative user interactions and manual task performance, directly resolving the contradiction between simple interaction and efficient task completion.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service by automatically utilizing data from various applications and devices to fulfill user requests without requiring manual intervention. The automated assistant independently gathers weather information, calendar details, and messaging data, then synthesizes this information to provide comprehensive responses, thereby eliminating wasteful duplicative interactions while maintaining user-friendly simplicity.

Inventive Principle:

Principle #25Self-service

2Productivity

If the automated assistant provides comprehensive task breakdowns and proactive assistance, then task completion efficiency improves, but the system complexity increases

Engineering Contradiction:

Improvetask completion efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated assistant achieves multi-functionality by integrating capabilities to access and process data from multiple different applications (weather, calendar, messaging) and devices simultaneously. This universal data gathering and processing capability allows the system to handle diverse user requests comprehensively without requiring separate specialized systems for each function, thus managing complexity through unified multi-functional design.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The automated assistant serves as an intermediary layer between the user and multiple applications/devices. It mediates by collecting data from various sources, processing this information through unified logic, and presenting synthesized results to the user. This intermediary role consolidates system complexity into a single coordinating component rather than requiring direct complex integrations between all applications.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If the automated assistant dynamically updates the GUI based on available data, then adaptability and task status awareness improve, but the rendering and processing requirements increase

Engineering Contradiction:

ImproveGUI adaptability to data availabilityVSAvoidcomputational resource consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The graphical user interface is designed to be dynamic, automatically adapting its content and structure based on real-time data availability from weather applications, calendar applications, and messaging applications. The GUI transitions from static to dynamic by incorporating conditional rendering that responds to data presence, enabling the system to adjust its presentation based on current information without requiring excessive computational resources for continuous processing.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20250335152A1Assistant adaptation of graphical user interface to guide interaction with user in fulfilling user request

Publication Date: 2025.10.30 GOOGLE LLC

AI summary

Implementations set forth herein relate to an automated assistant that can proactively identify and complete tasks that may be associated with an activity with which a user has scheduled the automated assistant to assist with. The tasks can be identified and completed prior to a time that the user has scheduled the automated assistant to assist the user, thereby eliminating certain manual tasks the user may otherwise perform at the scheduled time. When the activity involves communicating with a separate entity, such as another person and/or organization, the automated assistant can initialize communication with the entity prior to the scheduled time that the user requested assistance. A customized GUI can be rendered at an assistant-enabled device to provide the user with an ongoing status of completing various tasks associated with scheduled activity.