Vehicle Information Output Stabilization via Virtual Emotion

The system performs preliminary classification of driving load levels into multiple tiers (first through fourth levels) with predetermined information output policies. By pre-establishing these classification thresholds and corresponding output strategies, the system avoids frequent real-time decision switching, thereby maintaining output stability while still adapting to varying driving conditions.

The patent introduces a hierarchical parameter structure for driving load assessment, dividing the continuous driving load spectrum into discrete levels (first to fourth levels) with specific thresholds. This parameter transformation converts continuous real-time variations into discrete stable states, reducing frequent switching between information output modes while preserving adaptability to actual driving conditions.

The system implements dynamic information output strategies that adapt to driving load levels. During high driving load periods (third and fourth levels), the system dynamically adjusts output by selecting more appropriate information types and delivery methods rather than complete suppression. This dynamic adaptation maintains driver attention while reducing user discomfort through consistent and context-appropriate information presentation.

The patent applies different information output qualities to different driving load levels. Instead of uniform information suppression during high load, the system selectively withholds only certain information types while maintaining others, and uses varied output modes (visual, auditory, haptic) appropriate to each load level. This localized quality adjustment preserves driver attention while minimizing user discomfort through nuanced information delivery.