Driver Training System Using Stimuli Association for Safety

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing vehicle systems that intervene in driving tasks, such as emergency braking, can cause false positives or negatives, leading to driver skepticism and a preference for manual control, while also failing to provide useful information about driving conditions, and drivers may engage in risky behaviors due to distraction or lack of judgment.

Innovation Solution

A two-phase framework that includes a training phase to associate vehicle maneuvers with stimuli and a suggestion phase to encourage safe driving practices, using a sensor array and human-machine interface to present visual, tactile, or other stimuli to prompt drivers to perform desired maneuvers, without overriding their control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If an intervening system overrides driver control based on sensor data, then driving safety is improved, but driver trust and control are worsened due to false positives and driver skepticism

Engineering Contradiction:
Improvedriving safetyVSAvoiddriver trust and control
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system divides the intervention function into two distinct phases: a training phase where the system learns and validates driver responses to stimuli, and a suggestion phase where the system provides recommendations without forcing actions. This segmentation allows the system to maintain safety while preserving driver autonomy and trust.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system implements feedback mechanisms where drivers receive stimuli (visual, auditory, or haptic signals) in response to detected maneuvers, and the system learns from driver responses. This feedback loop builds driver trust by allowing them to control the interaction rhythm and reduces false alarm fatigue.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If an intervening system provides detailed information about driving conditions, then driving accuracy is improved, but driver distraction and cognitive load are worsened

Engineering Contradiction:
Improvedriving accuracyVSAvoiddriver attention and cognitive load
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system provides targeted, context-specific information only when and where needed. Instead of continuous detailed information, it delivers localized stimuli (e.g., visual icons in specific zones, haptic feedback on specific controls) that convey precise driving conditions without overwhelming the driver.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system uses periodic, intermittent stimuli rather than continuous information streams. Drivers receive information in discrete, timed packets that are processed mentally rather than continuously, reducing cognitive load while maintaining awareness of driving conditions.

Inventive Principle:
Principle #19Periodic action

3Reliability

If a system encourages better driving habits through suggestions, then driver behavior is improved, but system complexity is worsened

Engineering Contradiction:
Improvedriver behaviorVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary learning during the training phase, where it establishes the relationship between stimuli and desired driver responses. This preliminary conditioning allows the suggestion phase to operate with simpler, more direct recommendations, as the foundational associations are already in place.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system leverages the driver's own actions and responses to shape the suggestion behavior. By observing what drivers do in response to stimuli, the system automatically refines its suggestions without requiring complex external intervention or manual programming of driving norms.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20230343240A1Training and suggestion systems and methods for improved driving
Publication Date: 2023.10.26 TOYOTA RESEARCH INSTITUTE INC
  • US20230343240A1 patent drawing
  • US20230343240A1 patent drawing
  • US20230343240A1 patent drawing

AI summary

Systems and methods are provided for training and suggestion frameworks to improve driver operation of a vehicle. A driver may perform certain maneuvers frequently. Pairing these maneuvers with assigned stimuli may form an association in the driver's mind between the maneuver and the stimuli. A driving scenario may arise in which it would be safer, compliant, more efficient, or more effective for a driver to perform a certain maneuver. If a driver has formed a strong mental association between a maneuver and assigned stimuli, the assigned stimuli may be presented to prompt the driver to perform the maneuver. A driver may still retain ultimate control of a vehicle and may choose not to perform the maneuver.