Motion Sensor Feedback for Cellular User Terminals
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Solution Overview
Problem
Cellular communications systems face challenges in determining user satisfaction for various services and applications, as different users have different tolerance levels, making it difficult for operators to adjust network resources and improve service quality effectively.
Innovation Solution
A user terminal equipped with a motion sensor that senses movements and reports them to the cellular communications system if they exceed predefined thresholds, allowing operators to assess user sentiment through specific movement patterns, including direction, duration, and magnitude, and providing feedback on applications and system data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional service quality monitoring methods are used, then operator control over network resources is maintained, but user satisfaction feedback is insufficient and difficult to obtain
Solution Approach 1:
The patent implements a feedback mechanism where user terminal movements are detected by motion sensors and transmitted to the network operator. This creates a closed-loop feedback system that allows operators to receive real-time information about user satisfaction levels based on movement patterns, directly addressing the information loss problem without requiring complex manual surveys or feedback forms
Solution Approach 2:
The system enables users to provide feedback automatically through their natural movements without requiring active participation in surveys or feedback mechanisms. The motion sensor continuously monitors user behavior and automatically transmits satisfaction indicators to the network, making the feedback process self-service oriented and eliminating the need for complex user-initiated feedback procedures
2Measurement precision
If motion sensors are added to user terminals, then user sentiment detection capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces traditional mechanical or manual feedback methods (such as surveys, buttons, or explicit user inputs) with motion sensor-based detection. The motion sensor captures subtle user movements that indicate satisfaction or dissatisfaction, substituting complex human-computer interaction mechanisms with simpler sensor-based detection that leverages natural user behavior
Solution Approach 2:
The motion sensor serves multiple functions within the user terminal - it can detect user satisfaction levels, track usage patterns, and provide contextual information about user behavior. This multi-functionality justifies the addition of the sensor by providing broader benefits beyond just sentiment detection, thereby mitigating the complexity increase
3Productivity
If movement thresholds are set low, then user dissatisfaction is detected more frequently, but false positives from normal usage movements increase
Solution Approach 1:
The system monitors multiple movement parameters simultaneously (acceleration, velocity, direction, duration) rather than relying on a single threshold. By collecting excessive data points and analyzing patterns across multiple dimensions, the system can distinguish between genuine dissatisfaction indicators and normal usage movements, reducing false positives while maintaining high detection frequency
Solution Approach 2:
The system establishes baseline movement patterns for normal usage before evaluating satisfaction indicators. By pre-defining what constitutes typical user behavior and comparing current movements against these established patterns, the system can more accurately determine when movements indicate dissatisfaction versus when they represent normal interaction, thereby improving reliability
4Loss of information
If comprehensive movement data is collected and reported, then service quality analysis is improved, but network bandwidth and data transmission requirements increase
Solution Approach 1:
The system extracts only the essential features from comprehensive movement data for transmission to the network - specifically, pre-processed movement patterns and satisfaction indicators rather than raw sensor data. This extraction approach maintains information completeness for service quality analysis while significantly reducing the volume of data that needs to be transmitted over the network
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables operators to better understand user dissatisfaction and adjust network resources to improve service quality by receiving real-time feedback on user sentiment, allowing for targeted improvements in service delivery.
Implementation Method 1
the user terminal is equipped with a motion sensor for sensing movements of the user terminal
Data Source
AI summary
A user terminal (100) for a cellular communications system, equipped with means (115, 130, 105) for making and receiving transmissions in the cellular communications system. The user terminal (100) is equipped with a motion sensor (135) for sensing movements of the user terminal (100), and the user terminal (100) is also equipped with a reporting function (140) for reporting movements sensed by the motion sensor (135) to another party in the cellular communications system if said movements exceed a predefined threshold in duration and/or in magnitude. In embodiments, the reporting function (140) is arranged to include one or more of the direction, duration or magnitude of said movements in its reporting.