Adaptive Driving Coaching System for Emotional State Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional driving coaching systems fail to provide appropriate support and guidance tailored to a driver's emotional and physical state, leading to ineffective coaching and potential discomfort or anxiety.
Innovation Solution
An information providing system that acquires and estimates a driver's emotion, driving skill, and physical condition, adjusting coaching information and instructor dialogue dynamically based on these factors, including reducing coaching frequency when emotions turn negative and suspending coaching during poor physical conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If driving coaching is provided continuously and frequently to improve driving skill, then driving skill improvement is enhanced, but driver anxiety and discomfort increase
Solution Approach 1:
The system dynamically adjusts the coaching frequency and intensity based on real-time detection of driver emotion and physical condition. When positive emotions are detected, coaching frequency increases to maximize skill improvement. When negative emotions or poor physical condition are detected, coaching frequency decreases or pauses to prevent driver anxiety and discomfort.
Solution Approach 2:
The system continuously monitors driver emotion and physical condition through sensors and provides feedback by adjusting coaching frequency accordingly. This closed-loop feedback mechanism ensures that coaching is adaptive to driver state, optimizing skill improvement while preventing excessive coaching-induced anxiety.
2Productivity
If driving coaching is provided without considering driver emotion and physical condition, then coaching coverage is maximized, but coaching appropriateness and effectiveness decrease
Solution Approach 1:
The system transitions from static coaching schedules to dynamic coaching delivery by continuously adapting to driver emotion and physical condition. This enables the system to maintain high coaching coverage while ensuring each coaching instance is appropriate to the driver's current state.
Solution Approach 2:
The system changes key parameters of coaching delivery (frequency, intensity, timing) based on detected driver emotion and physical condition parameters. This allows the system to maximize coaching coverage while maintaining appropriateness through parameter adaptation.
3Speed
If coaching frequency is increased to accelerate skill development, then learning speed improves, but driver comfort and acceptance decrease
Solution Approach 1:
The system dynamically balances learning speed and driver comfort by adjusting coaching frequency in real-time. When drivers are in positive emotional states, the system increases coaching frequency to accelerate learning. When negative emotions are detected, the system reduces frequency to maintain driver comfort and acceptance.
Solution Approach 2:
The system changes the frequency parameter of coaching delivery based on detected driver state parameters, enabling acceleration of learning speed during favorable conditions while maintaining comfort during unfavorable conditions.
Data Source
AI summary
Enabling information provision of appropriate driving coaching and so forth in line with a user as a driver. A terminal device includes a driving information acquiring unit and a biological information acquiring unit functioning as an information acquiring unit that acquires information relating to the emotion, the driving skill, and the physical condition of a rider (user). Furthermore, an arithmetic unit of a server functions as an estimating unit that estimates the emotion, the driving skill, and the physical condition according to acquired information and functions as an information processing unit that carries out information provision to a rider according to the combination of the emotion, the driving skill, and the physical condition that are estimated.


