Emotional Analysis System for Dynamic Parental Control
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Solution Overview
Problem
Existing parental control systems do not account for the emotional impact of computer activities on users, failing to provide guidance or detect when children engage in stressful or inappropriate activities, as they are primarily focused on access control rather than the child's well-being.
Innovation Solution
A system and method that utilize emotional analysis to administer computer activities by sensing emotional context data such as voice stress, eye motion, pupil dilation, and micro-expressions to enforce policies, allowing for full or restricted access and reporting data for feedback to adjust policies, thereby enabling emotional intelligence-based parental or third-party controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional parental control systems restrict access based on usage time or content filters, then access control is improved, but the system cannot detect or respond to the emotional impact of computer activities on the user
Solution Approach 1:
The system combines multiple monitoring functions into a single parental control platform that simultaneously tracks usage time, content appropriateness, and emotional states through biometric sensors (heart rate, galvanic skin response, facial expressions). This multi-functional approach allows the system to maintain reliable access control while adapting to emotional context, resolving the contradiction between these two features.
Solution Approach 2:
The patent introduces an emotional context analysis module as an intermediary between the user and the parental control system. This mediator processes biometric data and emotional signals to provide contextual information that enhances the basic access control rules, allowing the system to respond not just to what activities are permitted but also to the user's emotional state during those activities.
2Reliability
If the system monitors user activities to enforce policies, then policy enforcement is improved, but the system cannot distinguish between legitimate and deceptive user reports of their activities
Solution Approach 1:
The system implements continuous feedback loops where biometric sensors monitor physiological responses (heart rate changes, skin conductance) that provide objective feedback about user engagement and emotional state. This feedback mechanism allows the system to verify whether a user is genuinely engaged in reported activities or deceiving the system, thereby improving both policy enforcement reliability and activity detection precision simultaneously.
Solution Approach 2:
The patent enables the system to self-verify user statements by comparing reported activities against automatically captured biometric data and behavioral patterns. Instead of relying solely on user declarations, the system uses its own sensor data to validate or correct user reports, improving the precision of activity detection while maintaining strong policy enforcement.
3Object-affected harmful factors
If parental control systems focus on restricting access to inappropriate content, then safety is improved, but the system provides no guidance or support for user well-being during computer activities
Solution Approach 1:
The emotional context analysis module serves as an intermediary that translates raw biometric data into meaningful insights about user well-being. This mediator not only blocks inappropriate content based on traditional filters but also provides supportive interventions when stress or negative emotional states are detected, thereby maintaining safety while adding well-being support functionality.
Solution Approach 2:
The system dynamically adjusts control parameters based on detected emotional states. When users exhibit signs of stress, frustration, or negative emotions through biometric monitoring, the system modifies its behavior from purely restrictive to more supportive, offering breaks, suggesting alternative activities, or providing guidance, thus maintaining protection while enhancing ease of operation regarding user well-being.
Data Source
AI summary
Systems and methods of administering computer activities based upon user emotional intelligence are provided. One method may include receiving a user request for a computer activity and sensing emotional context data associated with the user, such as voice stress analysis of use a communication, eye motion, pupil dilation, mood and stress changes, sporadic user movement, and video contexts indicating micro-expressions (i.e. anxiety, anger, amusement, and the like). The method may further include retrieving a policy associated with the requested computer activity and applying the sensed emotional context data to the policy. In response to policy permission, the system may enable full or restricted access to the requested computer activity based upon the sensed emotional context. In the alternative, in response to policy violation, the system may deny access to the computer activity. The system may solicit feedback such that parental or third party controls may be established using emotional intelligence.