Smart Device Parameter Adaptation via Connected Object Activity Detection
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Solution Overview
Problem
Conventional methods require manual adjustment of device parameters, such as ring modes, which can lead to interruptions during activities like meetings if not properly set, indicating a need for automatic adaptation based on user activity.
Innovation Solution
A method that uses connected objects to capture user behavior data, determine the current activity through neural networks, and transmit instructions to modify device parameters like ringtone volume or mode, ensuring seamless interaction modality adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of device parameters is used, then user control over device behavior is maintained, but user experience deteriorates due to interruptions during activities like meetings
Solution Approach 1:
The system enables devices to automatically adjust their own parameters based on detected user activities. The mobile device receives activity information from connected objects and autonomously modifies notification parameters without requiring manual user intervention, making the system self-adjusting and eliminating the need for continuous manual control.
Solution Approach 2:
Connected objects act as intermediaries between the user environment and the mobile device. These objects detect user activities and transmit this information to the mobile device, which then adjusts its parameters accordingly. This intermediary mechanism bridges the gap between environmental context and device behavior without requiring direct complex processing in the mobile device itself.
2Reliability
If automatic adaptation of device parameters is implemented, then user experience is improved by reducing interruptions, but device complexity increases due to activity detection requirements
Solution Approach 1:
The system divides the activity detection function across multiple connected objects rather than concentrating it in a single device. Each connected object independently detects specific aspects of user activity (e.g., presence, location, behavior patterns) and transmits this segmented information to the mobile device, which then synthesizes the data to determine overall user activity and adjust parameters accordingly.
Solution Approach 2:
Connected objects serve multiple functions: they detect user activities, transmit this information to the mobile device, and enable automatic parameter adjustment. This multi-functional approach allows the same infrastructure to support both activity detection and device adaptation without requiring separate dedicated systems, thereby reducing overall complexity while maintaining reliability.
3Productivity
If connected objects are used to detect user activity, then automatic parameter modification is enabled, but loss of information may occur during data transmission between devices
Solution Approach 1:
The system implements a feedback mechanism where connected objects continuously monitor user activities and transmit this information to the mobile device. The mobile device receives this feedback, processes the activity data, and automatically adjusts its parameters in response. This closed-loop feedback system ensures that parameter modifications are based on accurate, real-time activity information, minimizing information loss through continuous verification and adjustment.
Data Source
AI summary
A method for modifying a value of at least one parameter of at least one first device is described. The method includes obtaining a current activity of a first user depending on data representative of the behavior of the user in an environment including at least one connected object, the data being captured by the at least one connected object. The method also includes transmitting an instruction aimed at modifying the value of the at least one parameter of the at least one first device, depending on the activity obtained.