Vehicle Interface Adapting Information Composition to Driver Status
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Solution Overview
Problem
Traditional human machine interfaces in vehicles do not dynamically adapt to the driver's mood, personality, workload, or external conditions, limiting how information is perceived and accepted by the driver.
Innovation Solution
A vehicle interface system that includes a processor to receive and monitor driver status signals, adjusting the output information based on determined operating states, driver behavior, and external conditions, using a dynamic dialogue manager to vary content, structure, and format of information presented to the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional static human machine interface is used, then device complexity is reduced, but adaptability to driver status deteriorates
Solution Approach 1:
The interface dynamically adapts its information composition based on real-time driver status signals. The processor adjusts the content, structure, and format of information presented to the driver according to monitored driver state, transforming a static interface into a dynamic one that responds to changing conditions.
Solution Approach 2:
The system implements a feedback loop where driver status signals are continuously monitored and fed back to the processor. This feedback enables the interface to adjust information composition in real-time, creating a closed-loop system that adapts to driver needs based on ongoing monitoring of driver state.
2Reliability
If information is composed based on driver status signal, then information acceptance by driver is improved, but processing complexity increases
Solution Approach 1:
The processor changes multiple parameters of information composition simultaneously - selecting different content based on driver status, adjusting structural organization, and modifying presentation format. This multi-parameter adjustment enables tailored information delivery that improves acceptance while managing processing complexity through systematic parameter variation.
3Adaptability or versatility
If driver status is monitored continuously, then adaptability is improved, but use of energy increases
Solution Approach 1:
The system maintains continuous monitoring of driver status signals to enable real-time adaptability. This continuous action ensures the interface remains responsive to driver needs throughout operation, though it does incur ongoing energy consumption as a trade-off for sustained adaptability.
4Ease of operation
If information is re-composed based on detected changes in driver status, then driver workload is reduced, but processing time increases
Solution Approach 1:
The system employs periodic re-composition of information based on detected changes in driver status. Rather than continuous re-composition, the interface updates information structure and content at intervals triggered by status changes, balancing driver workload reduction with acceptable processing time delays.
Data Source
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AI summary
The present disclosure relates to a human machine interface (1) for a vehicle (2). The human machine interface (1) includes a first output device (10) for outputting information relating to a vehicle system (VS). The human machine interface (1) includes a controller (3) having at least one processor (4) having an input for receiving a driver status signal (DSTAT). A memory device (5) is coupled to the at least one processor (4) and has instructions stored therein. The at least one processor (4) is configured to determine an operating state of said vehicle system (VS) and to control said first output device (10) to output information relating to the determined operating state. The at least one processor (4) is configured to compose the information to be output in dependence on the received driver status signal (DSTAT). The present disclosure also relates to a method of controlling the output of information relating to an operating state of a vehicle system (VS).