Content Selection Based on Device State Data
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Solution Overview
Problem
In networked environments, users face challenges with battery-powered devices as they may be inconvenienced by high battery consumption from content delivery, leading to reduced accessibility and engagement with content, especially in low battery states or poor network conditions, without adequate consideration for the user's receptiveness.
Innovation Solution
A system that selects and serves content items based on the battery level, signal strength, and charging state of user devices, using predictive models and filtering techniques to optimize content delivery, ensuring lower battery consumption and improved user engagement by providing relevant content when the user is most receptive.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If content items are delivered to user devices in networked environments, then information accessibility is improved, but battery consumption increases
Solution Approach 1:
The system changes the parameters of content delivery by selecting content items based on device state parameters (battery level, signal strength, charging state). When battery level is low, the system selects content that consumes less energy, thereby adjusting the delivery parameters to balance information accessibility with energy conservation.
Solution Approach 2:
The content selection system dynamically adapts to changing device states. As battery level, signal strength, or charging state changes, the system dynamically adjusts which content items are selected and delivered, making the content delivery process flexible and responsive to real-time conditions.
2Ease of operation
If content items are delivered without considering device state, then content delivery simplicity is maintained, but user engagement decreases
Solution Approach 1:
The content selection system operates autonomously by automatically detecting device state parameters and selecting appropriate content items without requiring user intervention. The system self-adjusts content delivery based on real-time device conditions, maintaining operational simplicity while improving engagement through intelligent selection.
Solution Approach 2:
The system implements a feedback mechanism where device state information (battery level, signal strength, charging state) is continuously monitored and fed back to the content selection process. This feedback loop enables the system to adjust content selection based on current device conditions, thereby improving user engagement while maintaining automated operation.
3Adaptability or versatility
If content items are selected based on multiple device state parameters, then user receptiveness is optimized, but system complexity increases
Solution Approach 1:
The system segments the content selection process into distinct evaluation stages based on different device state parameters. It separately evaluates battery level, signal strength, and charging state, then integrates these evaluations to select content items. This segmentation allows complex multi-parameter optimization to be managed through modular, independent assessments.
Data Source
AI summary
A method includes receiving, by one or more processors of at least one server and via a connection between the at least one server and a client device, a request for a content item to be presented at the client device, receiving, by the one or more processors, data indicative of a network speed of the client device at which the content item is to be presented, selecting, by the one or more processors and based on the data indicative of the network speed, a first content item, and providing, by the one or more processors and for presentation at the client device, the first content item via the connection between the at least one server and the client device.