Driver State Classification Using Questionnaire-Based Driving Assistance
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Solution Overview
Problem
Existing driving assistance techniques require complex sensors to quickly estimate or classify a driver's state, which is not feasible with a simple configuration.
Innovation Solution
A driving assistance device that outputs questions to acquire driver information, classifies the driver's psychological and physical state based on the answers, and generates assistance information to advise the driver on their state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex sensors are used to quickly estimate or classify a driver's state, then measurement precision and speed are improved, but device complexity increases
Solution Approach 1:
The patent replaces complex physical sensors with a questionnaire-based information acquisition system. Instead of using sophisticated sensor arrays to detect driver state, the system uses simple questions about the driver's life and behavior patterns, processing the textual responses through natural language understanding to classify driver state. This substitutes a mechanical/sensor-based system with an information-processing system.
Solution Approach 2:
The patent introduces questions and natural language responses as an intermediary between the driver and the state classification system. Rather than directly measuring physiological parameters with sensors, the system uses the driver's verbal or written responses about their life circumstances as a mediator to infer their current state, simplifying the overall system architecture.
2Productivity
If complex sensors are deployed for rapid driver state assessment, then information acquisition speed is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces complex sensor deployment and calibration procedures with a simple questionnaire interface. The system achieves rapid information acquisition not through fast sensors but through efficient natural language processing of driver responses, eliminating the operational complexity of sensor installation and maintenance while maintaining quick state assessment capability.
Solution Approach 2:
The patent uses textual copies of driver information (responses to questions) instead of direct physiological measurements. This copying approach simplifies operation because the system only needs to process language text rather than manage complex sensor data streams, making the system easier to operate while maintaining information acquisition speed through efficient text processing.
Data Source
AI summary
A plurality of questions for acquiring a plurality of pieces of driver information related to life of a driver of a moving object are output, the plurality of pieces of driver information are acquired on the basis of answers of the driver to the plurality of respective questions, a driver state related to at least one of a psychological state and a physical state of the driver is classified on the basis of the plurality of pieces of driver information, assistance information including advice regarding driving is generated on the basis of a classification result of the driver state, and the assistance information is output.