METHOD AND APPARATUS OF TRACKING AND PREDICTING USAGE TREND OF IN-VEHICLE APPS

摘要

A method and system for tracking and predicting usage trends for in-vehicle infotainment system applications are disclosed. Application usage data are collected in the infotainment systems of many road vehicles. Vehicle context relevance indicators are also provided, using data from the vehicle CAN bus or other data bus. The context relevance indicators—which indicate vehicle contextual situations such as traffic and weather conditions, presence of back seat passengers, length of driving trip, etc.—are cross-referenced to the application usage data to determine which applications are likely to be used in which situations. Application usage data and application/context correlation data from many vehicles are collected on a central server and analyzed to provide various metrics which are indicative of application usage trends. The application usage trend data can be used by vehicle manufacturers to optimize future infotainment system designs.

主权项

1. A method for tracking and predicting usage trends for in-vehicle infotainment system applications, said method comprising:
collecting, in a processor onboard a vehicle, said processor including a microprocessor and a memory module, usage data for in-vehicle infotainment system applications; computing user ratings for the applications from the usage data; collecting, in the processor, vehicle operational data from a vehicle Controller Area Network bus (CAN bus); computing context indicators from the vehicle operational data; computing application/context correlations from the usage data, the user ratings and the context indicators; uploading the usage data, the user ratings and the application/context correlations from the vehicle to a central server computer for aggregation; and computing, on the central server computer, application usage trends for an entire population of users from the usage data, the user ratings and the application/context correlations which were uploaded from many road vehicles.