Adaptive Macro Playback Speed Based on User Familiarity

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Solution Overview

Problem

Users of mobile devices often face challenges with repetitive tasks that require multiple steps and access to various applications, leading to user input errors and inefficient use of mobile device capabilities.

Innovation Solution

Providing users with a macro that demonstrates a sequence of actions to complete a task, with the macro's playback speed adjusted based on user familiarity with the action, allowing users to perform tasks more efficiently and accurately.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If a routine is executed by an automated assistant to automatically perform actions, then user input is reduced, but the user still needs to provide feedback and additional information to complete actions

Engineering Contradiction:
Improveautomation of task executionVSAvoiduser feedback requirement
Core Design Contradiction:
Extent of automationVSEase of operation

Solution Approach 1:

The system analyzes the user's search query and automatically determines the appropriate macro and playback speed without requiring explicit user feedback. The system serves itself by inferring user familiarity from the search behavior and autonomously configuring the macro demonstration parameters.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses implicit feedback from the user's search query and interaction history to adjust macro playback speed. By analyzing search patterns and previous interactions, the system infers user familiarity and automatically tailors the demonstration speed accordingly.

Inventive Principle:
Principle #23Feedback

2Loss of information

If a macro demonstrates all steps of an action sequence, then user understanding is improved, but time consumption increases for familiar users

Engineering Contradiction:
Improveuser understanding of action stepsVSAvoidmacro demonstration time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The macro playback speed is dynamically adjusted based on user familiarity with the action. The system varies the demonstration speed in real-time according to the inferred user knowledge level, making the information delivery adaptive rather than static.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the playback speed parameter of the macro demonstration based on user characteristics. By modifying this temporal parameter, the system optimizes the balance between information delivery completeness and time efficiency for different users.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If playback speed is increased for familiar users, then time efficiency is improved, but understanding may be compromised for less familiar users

Engineering Contradiction:
Improvetask completion speedVSAvoiduser comprehension of steps
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The macro demonstration provides different quality levels of information delivery to different users based on their familiarity. Familiar users receive a condensed, faster demonstration while less familiar users receive a more detailed, slower demonstration, tailoring the information quality to local user needs.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system performs preliminary analysis of the user's search query and interaction history before presenting the macro demonstration. This preliminary action allows the system to pre-determine the appropriate playback speed and information delivery style to match the user's expected comprehension level.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250044913A1Dynamically providing a macro to a user based on previous user interactions
Publication Date: 2025.02.06 GOOGLE LLC
  • US20250044913A1 patent drawing
  • US20250044913A1 patent drawing
  • US20250044913A1 patent drawing

AI summary

Implementations relate to providing a macro to a user to instruct the user regarding how to perform an action. When a user submits a request to perform an action, an option is provided that indicates a macro is available. Upon selecting the macro, one or more elements are displayed, with a corresponding application displayed in the background. The next element is displayed after a period of time, depending on the user familiarity with the action.