Affective Response Measurement Sampling Rate Control
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Solution Overview
Problem
Affective computing systems face challenges in reducing power consumption while measuring user affective responses, leading to battery drain in mobile devices, which can result in increased device size, frequent recharging, or reduced measurement quality.
Innovation Solution
Implementing different modes of operation with varying energy consumption rates for devices measuring affective responses, where eye tracking data is used to determine the appropriate mode based on user attention levels, allowing for reduced power usage during segments where high attention is not required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the battery size is increased to supply sufficient power for sensors and data analysis, then the power consumption requirement is met, but the device becomes more cumbersome and less comfortable for the user
Solution Approach 1:
The system dynamically adjusts the sampling rate of affective response measurements based on user engagement level. When engagement is high, the system uses higher sampling rates to capture detailed emotional responses. When engagement is low, the system reduces the sampling rate to minimize power consumption, thereby resolving the contradiction between meeting power requirements and reducing device size.
Solution Approach 2:
The patent changes the operational parameters of the sensor system by adjusting the measurement sampling rate according to user engagement conditions. This parameter adjustment allows the system to optimize the balance between data quality and power consumption, avoiding the need for larger batteries while maintaining adequate power supply for the sensors.
2Use of energy by moving object
If the battery size is increased to supply sufficient power for sensors and data analysis, then the power consumption requirement is met, but the device becomes less comfortable for the user
Solution Approach 1:
The system dynamically adjusts the sampling rate of affective response measurements based on user engagement level. When engagement is high, the system uses higher sampling rates to capture detailed emotional responses. When engagement is low, the system reduces the sampling rate to minimize power consumption, thereby resolving the contradiction between meeting power requirements and reducing device size.
Solution Approach 2:
The patent changes the operational parameters of the sensor system by adjusting the measurement sampling rate according to user engagement conditions. This parameter adjustment allows the system to optimize the balance between data quality and power consumption, avoiding the need for larger batteries while maintaining adequate power supply for the sensors.
3Use of energy by moving object
If power consumption is reduced by measuring users less or decreasing measurement quality, then battery life is extended, but the quality of service provided by the computer system is reduced
Solution Approach 1:
The system dynamically adjusts the sampling rate of affective response measurements based on user engagement level. When engagement is high, the system uses higher sampling rates to capture detailed emotional responses. When engagement is low, the system reduces the sampling rate to minimize power consumption, thereby resolving the contradiction between meeting power requirements and reducing device size.
Solution Approach 2:
The patent changes the operational parameters of the sensor system by adjusting the measurement sampling rate according to user engagement conditions. This parameter adjustment allows the system to optimize the balance between data quality and power consumption, avoiding the need for larger batteries while maintaining adequate power supply for the sensors.
Data Source
AI summary
A semantic analyzer receives a segment of content, analyzes it utilizing semantic analysis, and outputs an indication regarding whether a value related to a predicted emotional response to the segment reaches a predetermined threshold. Based on the indication, a controller selects a measuring rate, from amongst at least first and second measuring rates, at which a device is to take measurements of affective response of a user to the segment. The first rate may be selected when the value does not reach the predetermined threshold, while the second mode may be selected when the value does reach it. The device takes significantly fewer measurements while operating at the first measuring rate, compared to number of measurements it takes while operating at the second measuring rate.


