In-Vehicle Driving Assistance Using Driver Voice Feedback
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Solution Overview
Problem
Existing driving support systems are ineffective as they rely on users to admit and act upon determinations of dangerous driving, lacking personalized support tailored to the user's feelings.
Innovation Solution
A driving support device and method that determines if a vehicle is in an abnormal state using sensor data, outputs messages to the user, acquires user responses, and offers support functions based on user feedback to provide personalized driving assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system determines dangerous driving and presents results to the user, then the system can identify abnormal driving states, but the user must manually admit the determination result which reduces the effectiveness of driving support
Solution Approach 1:
The system implements a feedback mechanism where the user's verbal response (admitting or denying abnormal state) is fed back to the controller, which then adjusts the support function provision accordingly. This creates a closed-loop system that adapts to user perception, resolving the contradiction by making the system responsive to user feedback rather than requiring manual admission of pre-determined results.
Solution Approach 2:
The system allows the user to self-assess their driving state by having them verbally admit or deny the abnormal state. Instead of the system imposing its determination on the user, the user actively participates in the assessment process, which increases their engagement and the effectiveness of the support provided.
2Reliability
If the system provides standardized driving support, then the support function can be easily implemented, but the support is not tailored to the user's feelings reducing effectiveness
Solution Approach 1:
The system dynamically adjusts the provision of support functions based on real-time user feedback. The controller modifies the support level according to whether the user admits or denies the abnormal state, creating a dynamic adaptation mechanism that balances customization needs with implementation simplicity.
Solution Approach 2:
The system changes the parameter of support function provision based on user response. When the user admits the abnormal state, full support functions are provided; when the user denies it, support is reduced or eliminated. This parameter adjustment resolves the contradiction by linking support intensity to user perception rather than using a fixed standardized approach.
Data Source
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AI summary
A driving support device (1) includes a sensor (10) configured to acquire data of a space inside a vehicle and data of a space outside the vehicle and a controller (20). The controller (20) is configured to: determine whether the vehicle is in an abnormal state based on the data acquired by the sensor (10); upon determining that the vehicle is in the abnormal state, output a message indicating that the vehicle is in the abnormal state to a user on the vehicle; and acquire an answer from the user to the message via a microphone (11).