Connected Services Configurator for Hands-Free Calendar Automation
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Solution Overview
Problem
Mobile device users face challenges in utilizing their devices while driving due to the need to manually enter information, leading to distractions and potential accidents, as existing technologies do not effectively integrate services to automate tasks during driving.
Innovation Solution
A connected services configurator system that integrates with a telematics device and server to analyze driving behavior data, calendar information, and location to estimate arrival times and automatically notify users or initiate calls to manage scheduled meetings, allowing hands-free interaction with services like calendars and conference calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile applications require users to manually enter information, then the applications can perform tasks and provide services, but user distraction increases and safety decreases
Solution Approach 1:
The system automatically performs tasks by monitoring driving behavior and calendar data without requiring driver input. The mobile device autonomously identifies scheduled events, determines arrival times, and initiates appropriate actions (notifications, calls, messages) based on predicted arrival times, allowing the driver to maintain focus on the road while the system handles information management independently.
Solution Approach 2:
The system proactively analyzes calendar data and driving patterns in advance to predict arrival times before the driver reaches their destination. By performing preliminary analysis of scheduled events and current location data, the system can prepare and execute appropriate actions (such as notifying contacts or initiating calls) before the driver arrives, eliminating the need for manual input during critical driving moments.
2Extent of automation
If the system automatically analyzes calendar data and driving behavior, then task automation increases and safety improves, but system complexity increases
Solution Approach 1:
The patent integrates multiple functions within a single mobile device system: calendar data management, GPS location tracking, driving behavior analysis, arrival time prediction, and automated communication (notifications, calls, messages). By consolidating these diverse functions into one universal platform, the system achieves high automation without requiring multiple separate devices or complex external infrastructure.
Solution Approach 2:
The system merges calendar application data, telematics device driving behavior data, and GPS location data into a unified analysis framework. By combining these previously separate data streams and processing them together through integrated algorithms, the system achieves sophisticated automation while reducing overall system complexity compared to using multiple independent systems.
3Loss of information
If the system provides comprehensive notifications and automated calls, then user awareness of scheduled events improves, but information processing load increases
Solution Approach 1:
The system performs preliminary analysis of calendar events and driving patterns to predict arrival times in advance. By calculating estimated arrival times before the driver reaches the destination, the system can proactively notify appropriate contacts or initiate calls beforehand, ensuring meeting information is communicated without requiring real-time processing during the drive.
Solution Approach 2:
The system continuously monitors driving behavior, location, and calendar data to dynamically adjust notification timing and type. By providing feedback loops that compare predicted arrival times with scheduled event times, the system optimizes information delivery - sending notifications or initiating calls at the most appropriate moment based on real-time conditions, thus reducing unnecessary information processing load while maintaining comprehensive awareness.
Data Source
AI summary
A system may include a telematics device associated with a vehicle, a first computing device associated with a driver of the vehicle, and a server. The server may receive, from the telematics device or another device, driving behavior data, a vehicle location, and a time corresponding to the vehicle location, and parse data regarding a driver's calendar in order to identify a scheduled meeting or event and a location and/or time associated therewith. Further, the server may estimate a time of arrival at which the vehicle will arrive at the meeting or event location, determine whether or not the driver will be late to the meeting or event, and take action as appropriate.