Screen Dependence Measurement Using Heterogeneous Device Data
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Solution Overview
Problem
Existing methods for assessing excessive screen use rely on self-reported questionnaire measurements, which can be distorted and provide only a snapshot of a user's condition, failing to detect changes in addiction or digital lifestyle effectively.
Innovation Solution
A system and method that aggregates objective measurements from various information processing devices and electrical plugs to determine a user's degree of dependence on screens, using software modules to collect behavioral data and electrical plug probes to monitor usage patterns, allowing for a holistic and quantitative evaluation of digital lifestyle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If self-reported questionnaire measurements are used to assess screen use, then the assessment method is simple to implement, but the measurement precision is low and results can be distorted
Solution Approach 1:
The patent replaces self-reported questionnaire methods (mechanical/human system) with automated electronic measurement systems that collect objective data from devices and electrical plugs. This substitution eliminates human bias and distortion while maintaining ease of implementation through automated data collection.
Solution Approach 2:
The patent introduces intermediate measurement devices (software modules on devices, probes in electrical plugs) that act as mediators between the user's screen usage behavior and the assessment system. These intermediaries capture objective usage data without requiring direct user reporting, thereby improving measurement precision.
2Ease of operation
If self-reported questionnaires are used, then the implementation is non-intrusive, but the ability to detect changes in addiction over time is insufficient
Solution Approach 1:
The patent implements continuous automated measurement of screen usage through software modules and electrical plug probes that continuously collect data without requiring repeated user intervention. This continuous monitoring maintains non-intrusiveness while reliably detecting changes in addiction patterns over time.
Solution Approach 2:
The measurement system operates autonomously without requiring user participation beyond initial setup. The software modules and electrical plugs self-serve by automatically collecting, transmitting, and storing usage data, eliminating the need for repeated user questionnaires while maintaining non-intrusiveness.
3Measurement precision
If multiple measurement sources are aggregated to improve assessment accuracy, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent employs a centralized server that performs multiple functions: collecting data from diverse sources (devices and electrical plugs), aggregating measurements, determining screen dependence degrees, and storing results. This universal server handles all complex processing, allowing individual measurement components to remain relatively simple while achieving comprehensive assessment accuracy.
Data Source
AI summary
A system for determining a degree of dependence on screens of a user, includingat least one software module embedded in a set of information processing apparatuses, adapted for collecting first measurements about the behavior of the applications installed on said information processing apparatuses and second measurements about the behavior of said information processing apparatuses;a database for storing said measurements;a server for periodically determining an aggregation of said measurements and a degree of dependence on screens according to said aggregation.