In-Vehicle Proactive Autocomplete System for Task Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current automation systems in vehicles are limited in their ability to automate multiple in-vehicle operations, leading to driver distraction and annoyance, as they primarily focus on single operations rather than comprehensive task completion.
Innovation Solution
A method that monitors sensor data to determine initial vehicle operations, identifies corresponding tasks from a digitally stored dataset, and autocompletes subsequent operations based on the task, adjusting operations based on environmental changes, weather, or traffic data, while assessing user familiarity and adapting the dataset through user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple vehicle operations are automated to improve driver safety and reduce distractions, then driver safety and ease of operation are improved, but system complexity increases
Solution Approach 1:
The automation system is segmented into modular components: sensor modules for detecting initial operations, a task determination module for identifying vehicle tasks from sensor data, and execution modules for performing subsequent operations. This segmentation allows the complex system to be built from manageable, independent units that can be developed and maintained separately.
Solution Approach 2:
The system stores vehicle task data in advance in a digitally stored dataset, preparing the information needed for task identification before it is actually needed. When sensors detect an initial operation, the system can quickly retrieve pre-prepared task information and determine subsequent operations without real-time computation delays.
2Productivity
If comprehensive task automation is implemented to reduce the number of operations drivers must complete, then productivity is improved, but device complexity increases
Solution Approach 1:
The automation system is designed to handle multiple different vehicle tasks through a single universal platform. The sensor network can detect various initial operations (door opening, ignition, climate control adjustments), the digitally stored dataset contains information about multiple vehicle tasks, and the system can determine and execute different subsequent operations based on the detected task, making the system versatile rather than task-specific.
3Adaptability or versatility
If the system monitors and adapts to user behavior patterns to improve personalization, then adaptability is improved, but loss of information increases due to data processing requirements
Solution Approach 1:
The system automatically monitors sensor data, determines vehicle tasks, identifies subsequent operations, and executes them without requiring explicit user commands for each step. The system serves itself by autonomously completing the sequence of operations based on the detected initial operation and stored task information, reducing the need for users to manually input data or make decisions about each operation.
Data Source
AI summary
The disclosure includes a method for autocompleting an in-vehicle operation that includes monitoring sensors for sensor data. The method includes determining an occurrence of an initial vehicle operation performed by a user based on the sensor data. The method includes determining a vehicle task from a digitally stored dataset based on the initial vehicle operation. The method includes determining a next vehicle operation to autocomplete based on the vehicle task. The method includes autocompleting the next vehicle operation. The method includes determining whether the vehicle task is complete.