Adaptive Notification Depth Based on User Attention
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Solution Overview
Problem
Mobile computing devices typically output notifications with a fixed amount of information, regardless of the user's current activity or attention level, which may not be optimal for user engagement and information consumption.
Innovation Solution
A computing device dynamically adjusts the depth of information displayed based on user attention, initially showing minimal information and progressively adding details as the user interacts with the device, using attention detection modules and information depth modules to analyze user engagement and prioritize information display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If notifications include a fixed set of information, then the notification structure is simple and consistent, but the information may not be optimal for user engagement or may cause information overload
Solution Approach 1:
The notification system dynamically adjusts the amount and type of information displayed based on user attention state. The notification transitions from a static fixed-information format to a dynamic adaptive format that modifies content based on real-time user engagement detection, resolving the contradiction between adaptability and structural simplicity.
Solution Approach 2:
The system changes the parameter of information depth displayed in notifications based on user attention level. When user attention is detected, the notification expands to show more detailed information; when attention is not detected, it maintains a condensed format, thus adapting information display without permanently complicating the notification structure.
2Loss of information
If notifications display more information, then user engagement may improve, but information overload may occur when user attention is limited
Solution Approach 1:
The system uses feedback from user attention detection to control information display. Attention detection modules continuously monitor user engagement state and provide feedback to the notification system, which then adjusts information depth accordingly. This feedback loop ensures information is provided at appropriate levels, preventing both information loss and overload.
Solution Approach 2:
The notification system applies partial action by displaying only the necessary amount of information based on user attention state. Instead of always showing complete information or always showing minimal information, it selectively displays appropriate levels of detail, providing just enough information to be useful without overwhelming the user.
3Ease of operation
If the notification system adapts to user attention, then user experience is enhanced, but the system complexity increases due to attention detection modules
Solution Approach 1:
The attention detection modules serve multiple functions: they detect user attention state, trigger notification adaptations, and potentially inform other system behaviors. By making these modules multi-functional, the patent reduces the need for separate dedicated components, thereby limiting the increase in system complexity while still achieving enhanced user experience through adaptive notifications.
Data Source
AI summary
A computing device is described that includes one or more processors and at least one module operable by the processors to output, for display, first information for an event, and, responsive to determining that a user of the computing device has viewed a display device of the computing device for at least a threshold amount of time, output, for display, second information for the event, the second information including information associated with the event and not included in the first information. The module is further operable to, responsive to determining that the user of the computing device has viewed the display device for at least another threshold amount of time greater than the first threshold amount of time, output, for display, third information for the event, the third information including additional information associated with the event and not included in the first information or the second information.