Portable Device Policy Inference via Environmental Sensor Patterns
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Solution Overview
Problem
New members entering an environment with established social protocols for portable device usage may disrupt others due to lack of knowledge about these protocols.
Innovation Solution
A system that uses sensors to detect interaction patterns and generate policies for portable device usage, which are then communicated to users through notifications, adjusting device functionalities accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are deployed to detect interaction patterns and generate policies, then social protocol compliance is improved, but device complexity increases
Solution Approach 1:
The patent introduces sensors as intermediary devices that detect interaction patterns in the environment and translate them into policy notifications. These sensors act as mediators between the physical social environment and the portable device, automatically inferring social protocols without requiring direct human intervention or complex processing in the portable device itself.
Solution Approach 2:
The system enables portable devices to automatically adjust their functionalities based on detected social protocols. The device self-regulates by receiving policy notifications from sensors and autonomously modifying its operation (e.g., silencing alerts, adjusting camera settings) without requiring user awareness or manual configuration.
2Ease of operation
If automatic policy adjustment is implemented, then ease of operation is improved, but loss of information increases
Solution Approach 1:
The system performs preliminary actions by proactively detecting social protocols and generating policy notifications before the user encounters a disruptive situation. Sensors monitor the environment in advance, infer appropriate social protocols, and prepare policy adjustments, allowing the device to be ready to comply automatically when needed.
Solution Approach 2:
The system implements feedback loops where sensors continuously monitor interaction patterns, detect changes in the social environment, and update policies accordingly. This ongoing feedback mechanism ensures that the device adapts to evolving social contexts while maintaining automatic operation, reducing the need for user intervention.
Data Source
AI summary
A notification including one or more policies of use of one or more devices in an environment is received. The one or more policies are generated based on a pattern of use detected based on interaction data obtained by one or more sensors in the environment. Operation of one or more functionalities in the one or more devices is adjusted based on the one or more policies.