In-Cabin Charge Alerts Using Adaptive Display Variants
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Solution Overview
Problem
Vehicle occupants often fail to act on charge status and range notifications, posing a risk of being stranded or endangered.
Innovation Solution
A system that determines preferred information communication variants by analyzing user interactions with in-cabin displays and sensors, using A/B testing to identify optimal display arrangements and communication methods, and transmitting these variants to vehicles for real-time updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple information communication variants are displayed to users, then user engagement and action response improve, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments information communication into multiple variants displayed across different screens and systems (central infotainment, gauge cluster, heads-up display). Each screen presents tailored information formats, allowing users to engage with the most suitable communication method while the system manages complexity through modular segmentation of display functions.
Solution Approach 2:
The system dynamically adapts information communication variants based on real-time user interaction data collected from multiple screens. The communication method evolves from static notifications to dynamic, personalized variants that respond to user behavior patterns, improving engagement while the backend systematically processes data to manage complexity.
2Reliability
If A/B testing is implemented to determine preferred communication variants, then communication effectiveness improves, but time and computational resources increase
Solution Approach 1:
The system performs preliminary A/B testing of multiple information communication variants before full deployment. By pre-evaluating different communication approaches with user interaction data collected from test groups, the system identifies effective variants in advance, ensuring communication reliability while reducing the time needed for ongoing optimization.
Solution Approach 2:
The system implements continuous feedback loops where user interaction data from multiple screens is collected, analyzed, and used to refine communication variants. This feedback mechanism enables the system to learn from user responses and automatically adjust communication strategies, improving effectiveness over time while systematic processing minimizes additional time requirements.
3Reliability
If real-time transmission of preferred variants to target vehicles is implemented, then user safety and responsiveness improve, but network bandwidth and system load increase
Solution Approach 1:
The system transmits preferred information communication variants selectively to specific target vehicles based on their unique user interaction patterns and preferences. Rather than broadcasting to all vehicles, each vehicle receives customized communication variants tailored to its users' demonstrated preferences, improving safety responsiveness while minimizing unnecessary network bandwidth consumption through localized, targeted transmissions.
Data Source
AI summary
Different information communication variants (e.g., icon size or arrangement) are selected for use in the in-cabin displays and other user interaction mechanisms. As users adjust and interact with the in-cabin interaction mechanisms, those adjustments and interactions are collected. These user interface data, charging behaviors, etc. are then analyzed and used to determine preferred information communication variants. The vehicle cockpit becomes a personal testing laboratory on wheels that aims to understand the driver and produce the best-in-class cockpit experience for drivers/users.