Vehicle Text Message Generation Using Context Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current text message generation methods for vehicles are inefficient and distracting, as they require manual typing or voice recognition, which can divert the driver's attention and are not effective in noisy environments, and lack the ability to send messages to specific addressees other than the incoming message sender.
Innovation Solution
A method that predicts the most probable addressee and text message based on historical data and context, using icons and symbols to facilitate quick and intuitive message composition, allowing for predefined, personalized, and dynamic message generation without requiring the driver to read or type, incorporating parameters like weather, traffic, and calendar events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If voice recognition or manual typing is used for text message generation, then the driver can send messages, but driver distraction increases and message sending becomes slower
Solution Approach 1:
The system pre-generates multiple message options based on contextual data (location, weather, traffic, calendar events) before the driver needs to send a message. When the driver activates the system, messages are already prepared and ready for selection, eliminating the need for real-time typing or voice recognition during driving.
Solution Approach 2:
The system automatically gathers relevant information from various sources (GPS, weather services, traffic data, calendar) and compiles message drafts without requiring driver input. The driver only needs to review and select from pre-generated options, making the system serve itself by autonomously preparing message content.
2Adaptability or versatility
If traditional message templates are used, then message composition is simplified, but the ability to send messages to specific addressees other than incoming message sender is limited
Solution Approach 1:
The system integrates multiple functions into a single message generation process: it identifies addressees from contact lists, retrieves contextual data from multiple external sources, generates personalized message content, and presents options for driver selection. This multi-functional approach enables versatile message composition without requiring separate systems for each function.
3Ease of operation
If voice recognition systems are used, then hands-free operation is enabled, but recognition accuracy decreases in noisy environments like vehicles
Solution Approach 1:
The system replaces the acoustic-based voice recognition mechanism with a data-processing approach. Instead of relying on voice commands that must be accurately recognized in noisy environments, the system uses structured data from reliable sources (GPS coordinates, weather APIs, traffic data, calendar events) to generate message content, eliminating the need for voice recognition entirely.
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
Text message (8) generation method for an electronic device (3) in a vehicle (1), including the steps of collecting data (10), determining a probable addressee (5) of the at least one text message (8), determining a probable text template (82) for the at least one text message (8), as a function of the information (61) accumulated in the database (6) of the electronic device (3), of the collected data (10) on the at least one parameter of the vehicle (1) and/or the context (2) thereof, and of the probable addressee (5) determined, showing a plurality of icons (91) representing the probable addressee (5) determined, and a probable text template (82) determined, to streamline the sending of text messages to a user using a predictive method, thereby obviating the need to read or type when driving, reducing the risk of accidents.