Dynamic Sound Setting Adjustment via Context Detection
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Solution Overview
Problem
Users often forget to adjust or revert sound settings on devices according to changing contexts, leading to inappropriate sound levels or notifications in various situations.
Innovation Solution
A system that includes a processor and memory to detect changed sound settings and associate them with context characteristics, allowing for dynamic adjustment of sound settings at a future time when similar context conditions are detected, without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of sound settings is used, then user control over sound settings is maintained, but user forgetfulness leads to inappropriate sound settings in various situations
Solution Approach 1:
The system automatically detects context characteristics and adjusts sound settings without user intervention. The processor monitors context data (location, time, activity) and autonomously modifies sound settings based on detected patterns, allowing the system to serve itself rather than requiring continuous user management.
Solution Approach 2:
The system establishes a feedback loop where sound setting adjustments are made based on detected context characteristics. The processor continuously monitors context data and adjusts sound settings in response to detected patterns, creating a closed-loop control system that adapts to changing situations.
2Reliability
If automatic context-based adjustment is implemented, then user forgetfulness is addressed, but system complexity increases
Solution Approach 1:
The system uses a general-purpose processor that can handle multiple functions including context detection, pattern recognition, and sound setting adjustment. By leveraging the existing computational capabilities of modern processors, the system avoids adding dedicated hardware complexity while achieving automatic adaptation.
Solution Approach 2:
The system pre-establishes associations between context characteristics and sound settings through user interactions. When the processor detects that specific context conditions are met, it automatically applies pre-determined sound settings, eliminating the need for real-time complex decision-making and reducing processing complexity.
3Reliability
If dynamic future-time adjustment is used, then sound settings are automatically corrected, but response time delay occurs
Solution Approach 1:
The system performs preliminary detection and association of context characteristics with sound settings before actual adjustment is needed. By pre-processing context data and establishing adjustment rules in advance, the system minimizes the time required for actual sound setting changes when context conditions are met.
Data Source
AI summary
Apparatuses, methods, systems, and program products are disclosed for dynamically changing sound settings of a device. A method includes detecting, by a processor, that one or more sound settings of an information handling device are changed. The method includes determining, in response to the one or more sound settings being changed, values for the one or more sound settings and one or more context characteristics associated with the one or more sound settings. The method includes changing, dynamically at a future time, the one or more sound settings to values corresponding to the determined values for the one or more sound settings in response to determining that the one or more context characteristics at the future time are similar to the one or more context characteristics at the time that the one or more sound settings were changed.