Vehicle Operator Emotion Management System
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Solution Overview
Problem
Many vehicle accidents are caused by impaired vehicle operation due to emotional states such as agitation, anxiety, or aggression, which are triggered by various stressors during or before driving, and existing technologies do not effectively manage these emotional states to ensure safe driving.
Innovation Solution
A system and method that uses sensors to monitor vehicle operators' emotional states and provides targeted stimuli, such as music or sound recordings, to moderate their emotional state by determining impairment scores and presenting appropriate stimuli based on sensor data and user profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors and processing systems are implemented to monitor and manage vehicle operator emotional states, then driving safety is improved, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single platform: emotional state monitoring through various sensors, impairment score calculation, stimulus selection and delivery, and insurance premium adjustment. This multi-functional approach improves driving safety while managing system complexity through consolidation rather than separate independent systems.
Solution Approach 2:
The system automatically monitors emotional states, calculates impairment scores, selects appropriate stimuli, and adjusts insurance premiums without requiring manual intervention. This automation improves safety response time while reducing the operational complexity burden on users.
2Measurement precision
If multiple sensors are used to accurately determine emotional states, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system combines data from multiple sensor types (biometric sensors for physiological data, voice recognition for vocal patterns, image capture for facial expressions) into a unified emotional state assessment model. This integration achieves high measurement precision while managing complexity through centralized processing and unified algorithms.
Solution Approach 2:
The system transforms raw sensor data into standardized emotional state parameters and impairment scores through processing. By changing the parameter representation from raw sensor readings to processed emotional indicators, the system achieves precise measurement while simplifying the interpretation and decision-making processes.
3Reliability
If personalized stimuli are selected based on user profiles and sensor data, then emotional state management effectiveness is improved, but processing complexity increases
Solution Approach 1:
The system pre-processes and stores user profile information during normal operations, organizing data by emotional state types and effective stimuli. When an impaired emotional state is detected, the system can quickly retrieve and select from pre-organized options rather than performing complex real-time analysis, thus improving effectiveness while managing processing complexity.
Solution Approach 2:
The system uses feedback from sensor data during and after stimulus delivery to refine future stimulus selections. By continuously learning from the operator's responses and adjusting selections based on real-time emotional state changes, the system improves management effectiveness while using the feedback loop to simplify future decision-making through pattern recognition.
Data Source
AI summary
The method, system, and computer-readable medium facilitates monitoring a vehicle operator during the course of vehicle operation to determine whether the vehicle operator is in an emotionally impaired state (e.g., aggressive or agitated) and presenting appropriate stimuli (e.g., music or sound recordings) to the vehicle operator when impairment is detected. The vehicle operator, the environment surrounding the vehicle, or forces acting on the vehicle may be monitored using a variety of sensors, including optical sensors, accelerometers, or biometric sensors (e.g., skin conductivity, heart rate, or voice modulation). When the vehicle operator is determined to be in an emotionally impaired state, stimuli are selected to improve the emotional state of the vehicle operator. The selection is based on sensor data and data regarding prior responses of the vehicle operator to various stimuli. After selection, the stimuli are presented to the vehicle operator while monitoring continues.