In-Vehicle Computing System Wearable Data Aggregation
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Solution Overview
Problem
Existing in-vehicle computing systems lack the ability to automatically adjust settings based on user data from wearable and mobile devices, such as physical condition and environment, to enhance the in-vehicle experience before the user enters the vehicle.
Innovation Solution
An in-vehicle computing system that aggregates input from wearable and mobile devices to automatically select and adjust settings for vehicle systems like climate control and audio systems, using sensors to infer user preferences and transmit control instructions before user input is received.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the in-vehicle computing system waits for user input via user interface to adjust settings, then the system operation is simple, but the user experience and comfort are poor
Solution Approach 1:
The system performs preliminary actions by collecting user data from wearable devices and mobile devices before the user enters the vehicle, pre-determining optimal settings for climate control, audio, and other systems based on the user's physical condition and environment, so that settings are ready immediately upon vehicle entry without requiring user input
2Adaptability or versatility
If the system collects and processes user data from wearable devices to automatically adjust settings, then the user experience is improved, but the data processing complexity increases
Solution Approach 1:
The system uses an intermediary approach by leveraging existing mobile devices and wearable devices that users already carry, which contain the necessary sensors and data processing capabilities. The in-vehicle system receives pre-processed data from these external devices, reducing the processing burden on the vehicle's computing system while still achieving adaptive settings adjustment
3Productivity
If the system adjusts settings before receiving user input, then the responsiveness to user needs is improved, but the time required for data collection and processing increases
Solution Approach 1:
The system performs data collection and processing in advance while the user is outside the vehicle, using the user's mobile device and wearable devices to gather physical condition data and environmental information, then pre-computes optimal settings before the user enters the vehicle, eliminating waiting time upon vehicle entry
4Measurement precision
If the system uses multiple sensors and data sources to infer user preferences, then the accuracy of settings adjustment is improved, but the system complexity increases
Solution Approach 1:
The system uses universal multi-functional devices that users already possess - mobile devices and wearable devices - which serve multiple purposes including health monitoring, environmental sensing, communication, and entertainment. By leveraging these existing multi-functional devices, the system achieves accurate user preference detection without adding dedicated sensors or increasing system complexity
Data Source
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AI summary
Embodiments are described for an in-vehicle computing system, and methods of controlling vehicle settings using the in-vehicle computing system based on input received from a wearable device. Input may also be received from a mobile device. The in-vehicle computing system may automatically adjust one or more vehicle settings based on the received input.