Vehicle Accessibility Mode for Hearing-Impaired Driving Cues
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle systems lack support for hearing-impaired drivers, as they do not account for changing driving environments and temporary hearing impairments, which can be caused by factors like loud environments or noise-induced hearing loss, and traditional hearing aids do not provide adequate assistance for driving situations.
Innovation Solution
A system and method that evaluates the driving environment for hearing impairment conditions, activates an accessibility mode with sensory aids, and alters vehicle motion to enhance driver attention, using artificial intelligence and cloud-based communication to detect hearing impairments and provide personalized assistance, such as slowing the vehicle and engaging hazard lights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional hearing aids are used for driving situations, then hearing impairment is addressed, but they do not provide adequate assistance for driving situations
Solution Approach 1:
The vehicle system integrates multiple functions into a unified accessibility mode that combines auditory alerts, visual feedback, and vehicle control adjustments. This multi-functional approach allows the system to address hearing impairments while simultaneously providing driving-specific assistance, resolving the contradiction between hearing support reliability and driving situation adaptability
2Reliability
If driver assistance features use artificial intelligence to detect environments and prevent accidents, then safety is improved, but they do not typically relate to hearing impaired drivers
Solution Approach 1:
The system dynamically adjusts its behavior based on detected hearing impairment conditions. When hearing impairment is detected, the system automatically modifies vehicle operations such as adjusting alert timings, modifying sensory output patterns, and altering driving parameters. This dynamic adaptation allows the AI-driven safety system to effectively support hearing impaired drivers without compromising accident prevention capabilities
3Adaptability or versatility
If hearing-impaired conditions change and vehicles need to respond accordingly, then adaptability is improved, but system complexity increases
Solution Approach 1:
The system employs self-service mechanisms through continuous monitoring of driver behavior patterns and automatic detection of hearing impairment conditions. By using AI algorithms to analyze driving patterns, response times, and environmental interactions, the system automatically identifies and adapts to hearing impairment changes without requiring manual intervention or complex configuration, thus managing adaptability while controlling system complexity
Data Source
AI summary
The disclosure is generally directed to systems and methods for evaluating a driving environment of a vehicle for hearing impairment conditions, detecting a request related to hearing impairment conditions, activating an accessibility mode in response to the request based on the hearing impairment condition, the accessibility mode providing sensory aids in response to the hearing impairment conditions, and altering vehicle motion to enable driver attention to the driving environment. The detecting the request related to hearing impairment conditions includes receiving a driver request for accessibility, a predetermined setting implementing a driver profile indicating a request for accessibility, and an alert from a drivers assisted technology system using artificial intelligence (AI) that the driving environment has hearing impairment conditions. The alert from the DAT system includes analyzing behaviors of the driver including response times to environmental sounds and analyzing driver-chosen volume settings indicative of a hearing-impaired driver.