Adaptive Feedback System Context-Aware Alert Optimization
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Solution Overview
Problem
Conventional vibration-based alert signals in portable devices can be overly strong and disturbing, lacking adaptability to different contexts and environments, which affects user experience and comfort.
Innovation Solution
An adaptive feedback system that uses contextual information, such as location, speed, time, and environmental conditions, to adjust feedback profiles, including haptic, audible, visual, thermal, and chemical feedback, to optimize user experience by tailoring feedback settings dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vibration-based alert signals are made stronger to ensure they are perceivable, then user awareness of events is improved, but user comfort and disturbance to others deteriorates
Solution Approach 1:
The patent applies dynamics by making the alert signal characteristics variable rather than fixed. The vibration pattern, volume, and duration are dynamically adjusted based on detected context such as location, time of day, and environmental conditions. This allows the system to optimize between perceivability and comfort for each specific situation.
Solution Approach 2:
The system changes multiple parameters of the alert signal including vibration amplitude, frequency, duration, and type based on contextual information. By modifying these parameters adaptively, the system ensures the alert is sufficiently perceivable while minimizing disturbance to the user and surrounding environment.
2Object-affected harmful factors
If alert signals are customized for different contexts to improve comfort, then user disturbance is reduced, but system complexity increases
Solution Approach 1:
The system performs self-service by automatically detecting context information and autonomously determining appropriate alert signal characteristics without requiring manual user configuration. The device uses its own sensors and processors to adapt the feedback profile, reducing the need for complex user interface settings while maintaining high adaptability.
Solution Approach 2:
The system implements feedback mechanisms where the detected context information feeds back into the alert signal generation process. This closed-loop approach allows the system to continuously adapt based on real-time conditions, managing complexity through automated feedback-driven adjustment rather than manual control.
3Object-affected harmful factors
If the system adapts feedback based on multiple contextual parameters to optimize user experience, then user comfort and perceivability are improved, but energy consumption increases
Solution Approach 1:
The system uses periodic action by monitoring context information at intervals rather than continuously. The feedback profile is updated periodically based on changes in detected context, allowing the system to maintain adaptability while reducing processing frequency and associated energy consumption compared to continuous adaptation.
Data Source
AI summary
A method, apparatus and computer program in which: an adaptive feedback profile is stored; user feedback signals are produced according to the adaptive feedback profile; contextual information is determined; context of the apparatus is detected based on the contextual information; and the adaptive feedback profile is adapted according to the detected context.