Adaptive HMI Guidance for Vehicle Occupant Confidence
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Solution Overview
Problem
Current autonomous vehicles provide guidance at a fixed level, which can be either insufficient or overly detailed, leading to occupant distraction and reduced confidence, as they do not adapt to individual occupant preferences or states.
Innovation Solution
A method and apparatus that analyze an occupant's state to calculate a confidence score, determining a suitable Human-Machine Interface (HMI) mode among predefined modes and providing tailored guidance information to enhance occupant confidence without distracting them.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed guidance level is provided by the HMI, then the system complexity is reduced, but the adaptability to individual occupant preferences and states deteriorates
Solution Approach 1:
The HMI system dynamically adjusts the guidance level based on real-time analysis of occupant state (detected via cameras and sensors) and confidence score calculations. The system transitions from a static fixed guidance level to a dynamic adaptive guidance level that changes according to occupant needs, resolving the contradiction between system complexity and adaptability.
Solution Approach 2:
The system changes the parameter of guidance detail level based on detected occupant state parameters. By monitoring parameters such as occupant attention, task engagement, and confidence score, the system adjusts the guidance information parameter to match occupant preferences, achieving adaptability without requiring complete system redesign.
2Reliability
If a detailed guidance level is provided by the HMI, then the occupant confidence is improved, but the occupant concentration on other tasks deteriorates
Solution Approach 1:
The system implements a feedback loop where it continuously monitors occupant state, calculates confidence scores, and adjusts guidance levels accordingly. When the system detects that detailed guidance is causing distraction, it reduces the guidance level; when confidence is low, it increases guidance detail. This feedback mechanism resolves the contradiction by dynamically balancing confidence-building and distraction-prevention.
Solution Approach 2:
The system applies partial guidance action by providing only the necessary level of detail required to maintain occupant confidence without excessive information. By analyzing occupant state, the system determines the optimal partial level of guidance that suffices for confidence-building while avoiding the harmful effects of excessive detailed guidance that causes distraction.
3Object-affected harmful factors
If a simplified guidance level is provided by the HMI, then the occupant concentration on other tasks is maintained, but the occupant confidence deteriorates
Solution Approach 1:
The system dynamically adjusts guidance simplification based on real-time confidence score analysis. When confidence is high, simplified guidance is appropriate; when confidence drops, the system increases guidance detail. This dynamic adjustment resolves the contradiction by ensuring simplification occurs only when it is safe to do so, maintaining both concentration and confidence.
Solution Approach 2:
The system takes preliminary anti-action by detecting early signs of declining occupant confidence and proactively increasing guidance detail before the occupant becomes overly confident and potentially unsafe. This prevents the harmful effect of excessive simplification that would otherwise cause confidence deterioration, while maintaining concentration by only applying simplification when truly appropriate.
Data Source
AI summary
A method and apparatus for providing a human-machine interface (HMI) mode of a vehicle are provided. The method, performed by the device of the vehicle, for providing a human-machine interface (HMI) mode includes, analyzing a state of an occupant, calculating a confidence score for the vehicle based on the state of the occupant, determining an HMI mode corresponding to the confidence score among a plurality of predefined HMI modes; and providing first guidance information to the occupant based on the determined HMI mode.