Vehicle Voice Output Prioritization for Alert Distraction Control
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Solution Overview
Problem
The increasing number of notifications and alerts in modern vehicles, including those from driver assistance systems, often disrupt conversations and distract users, as the integration of these systems is incomplete and rudimentary, making it difficult for occupants to maintain focus on important information without missing critical directions or alerts.
Innovation Solution
A method and system for controlling a vehicle's voice output system that prioritizes notifications and voice outputs based on sensor input analysis, using artificial intelligence to assign priorities to input signals, adjusting volume and output accordingly, ensuring safety and efficiency by minimizing distractions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple notifications and alerts are output simultaneously, then all information is conveyed to the user, but the user becomes distracted and conversation is disrupted
Solution Approach 1:
The patent introduces a prioritization module as an intermediary between the notification sources and the output devices. This module analyzes incoming notifications, assigns priorities based on predefined criteria (safety-critical, important, informational), and selectively outputs only the most relevant notifications. This mediator prevents information overload while ensuring critical information reaches the user, resolving the contradiction between conveying all information and avoiding distraction.
Solution Approach 2:
The system changes the parameter of notification output by dynamically adjusting which notifications are output based on their priority level. Instead of outputting all notifications uniformly, the system modifies the output parameter by filtering and prioritizing notifications, thereby reducing distracting outputs while maintaining essential information conveyance.
2Loss of information
If all notifications are output with equal priority, then no information is lost, but critical information cannot be distinguished from non-critical information
Solution Approach 1:
The patent applies local quality by assigning different priority levels (qualities) to different notifications based on their specific characteristics. Safety-critical notifications receive high priority, important notifications receive medium priority, and informational notifications receive low priority. This differentiation allows the system to treat each notification according to its specific importance, enabling both complete information processing and precise priority discrimination.
Solution Approach 2:
The system changes the parameter of notification handling by introducing a priority parameter that categorizes notifications into different levels. This parameter transformation enables the system to distinguish between critical and non-critical information, allowing selective output that maintains information completeness while achieving precise priority discrimination.
3Adaptability or versatility
If driver assistance systems are integrated, then vehicle functionality is enhanced, but the number of notifications and disturbances increases
Solution Approach 1:
The patent extracts the notification prioritization function from the individual driver assistance systems and centralizes it in a dedicated prioritization module. This extraction allows the system to maintain enhanced functionality from multiple driver assistance systems while separating the harmful effect of excessive notifications. The centralized module filters and prioritizes notifications from all sources, reducing disturbances while preserving the versatility provided by integrated systems.
4Reliability
If navigation system announcements are always output, then turn-by-turn directions are ensured, but conversations are interrupted and users are distracted
Solution Approach 1:
The patent applies dynamics by making the navigation announcement output adaptive rather than static. The prioritization module continuously evaluates the current context and dynamically adjusts whether navigation announcements are output based on their priority relative to other notifications and the current driving situation. This dynamic approach ensures navigation reliability when critical while reducing conversation interruptions when less critical, resolving the contradiction between reliable navigation and minimal disturbance.
Data Source
Figure 1~2
AI summary
The present invention relates to a method for controlling a vehicle's voice output system comprising the following steps: - a first step in which at least one input signal is detected by means of a sensor unit, - a second step in which the at least one input signal is analyzed by means of a signal analyzer, - a third step in which at least one input signal intended for output is assigned a priority by means of a control unit based on the analysis of the signal analyzer, - a fourth step in which the at least one input signal intended for output is acoustically output by an output unit depending on the assigned priority.