In-Vehicle Content Suggestion Control for Driver Load Adaptation
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Solution Overview
Problem
Existing systems fail to dynamically adjust and personalize content output in vehicles based on the driving situation and driver's state, potentially distracting or failing to engage occupants effectively.
Innovation Solution
An information output control system that derives a driver's load based on their environment and state, suggesting appropriate content and adjusting its frequency and type based on calculated acceptance, using a vehicle-mounted system with sensors and dialogue agents to provide personalized entertainment options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is suggested to the driver based on driving situation, then driver engagement and entertainment are improved, but driver distraction and safety risks may increase
Solution Approach 1:
The system dynamically changes the parameter of content suggestion frequency based on the driving load. When driving load is high, the suggestion frequency is reduced or stopped; when driving load is low, the suggestion frequency is increased. This parameter adjustment resolves the contradiction by adapting content suggestion to safe driving conditions.
Solution Approach 2:
The system implements dynamic control by continuously monitoring driving load and adjusting content suggestion in real-time. The suggestion mechanism transitions from static to dynamic, allowing the system to respond to changing driving conditions and minimize distraction while maintaining engagement when appropriate.
2Productivity
If content suggestion frequency is increased to improve engagement, then driver entertainment is enhanced, but driver distraction increases
Solution Approach 1:
The suggestion frequency is adjusted as a controllable parameter based on driving load measurements. The system establishes a relationship between driving load levels and optimal suggestion frequencies, dynamically tuning this parameter to achieve high engagement during low-load periods while preventing distraction during high-load periods.
Data Source
AI summary
An information output control method includes a step of deriving a driving load of a driver, based on a traveling environment or a driving state of the driver, a step of deciding to suggest a content that meets the derived driving load, to the driver, and a step of calculating a degree of acceptance of the suggested content by the driver. In the deciding step, the frequency of suggestion of the content or the type of the content is set based on the calculated degree of acceptance.