Adaptive Notification Control via Physiological Feedback
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Solution Overview
Problem
Modern computing devices often generate notifications that can be perceived as distracting or annoying, leading to user frustration, as existing solutions fail to effectively adapt notification settings based on real-time user reactions.
Innovation Solution
A computing device determines user reactions to notifications through physiological parameters like heart rate and galvanic skin response, adjusting notification configuration settings to reduce annoyance, such as muting or disabling bothersome notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If notifications are output to alert the user, then the user is informed of new information, but the user experiences distraction and annoyance
Solution Approach 1:
The system continuously monitors physiological parameters (heart rate, galvanic skin response, temperature) to detect user stress levels in real-time. This feedback loop enables the notification system to adapt its behavior based on the user's current state, delivering notifications when the user is calm and suppressing them when stressed, thereby resolving the contradiction between informing the user and avoiding annoyance
Solution Approach 2:
The notification configuration settings are made dynamic rather than static. The system automatically adjusts notification delivery parameters (timing, modality, suppression) based on changing physiological states. This dynamic adaptation allows the system to optimize notification delivery for each moment, preventing annoyance while ensuring important information reaches the user
2Adaptability or versatility
If notification settings are customized for each user, then user preference is respected, but the system complexity increases
Solution Approach 1:
The system performs self-configuration by automatically analyzing physiological data and determining optimal notification settings without requiring manual user input. The device monitors its own performance and adapts settings autonomously, eliminating the complexity of manual customization while maintaining high adaptability to user preferences
Solution Approach 2:
The system uses physiological feedback to automatically tune notification parameters. By continuously monitoring stress indicators and adjusting settings based on this feedback, the system achieves personalized notification delivery without requiring users to manually configure complex settings, thus resolving the contradiction between customization and complexity
Data Source
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AI summary
In some examples, a technique may include outputting information associated with a notification. The notification may be associated with a notification attribute. The technique may further include determining, by a computing device, that a user has perceived the information associated with the notification; and receiving, by the computing device, an indication of at least one physiological parameter representative of a reaction of the user to the information associated with the notification. In some examples, the technique also includes, responsive to receiving the indication of the at least one physiological parameter representative of the reaction of the user to the information associated with the notification, controlling, by the computing device, at least one notification configuration setting related to outputting information associated with other notifications associated with the notification attribute.