Method and apparatus of tracking and predicting usage tread of in-vehicle apps

A trend, vehicle technology for tracking and forecasting in-vehicle app usage trends and devices

Inactive Publication Date: 2015-09-16
GM GLOBAL TECH OPERATIONS LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Similarly, existing app recommendation engines usually only evaluate simple parameters such as app classification

Method used

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  • Method and apparatus of tracking and predicting usage tread of in-vehicle apps
  • Method and apparatus of tracking and predicting usage tread of in-vehicle apps
  • Method and apparatus of tracking and predicting usage tread of in-vehicle apps

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Embodiment Construction

[0060] The following discussion of embodiments of the invention relating to methods and apparatus for tracking and predicting usage trends of in-vehicle apps is merely exemplary in nature and is not intended to limit the invention or its application or use in any way.

[0061] A telematics system in a modern vehicle not only allows the driver or passenger to access a smartphone or mobile device, but the system also provides its own built-in telematics functionality, including, for example, storing and playing media files, running local applications (“apps”), accessing the Internet To get the characteristics of files and real-time data and so on. Now, multiple vehicle manufacturers are now offering information systems, and app developers have responded by releasing thousands of apps for these information systems.

[0062] With the somewhat overwhelming number of available apps, consumers will increasingly turn to recommendation engines or other sources of information to find re...

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Abstract

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.

Description

technical field [0001] The present invention generally relates to methods and apparatus for tracking usage of applications on telematics systems and predicting future usage of applications, wherein usage tracking includes implicit user ratings of applications based on factors such as time of most recent access and frequency of use, and tracking Both, and trend forecasting, include vehicle condition scenario data. Background technique [0002] Information / entertainment systems, or "infosystems," have become increasingly popular in vehicles as the functionality and performance of electronic systems have advanced by leaps and bounds, Internet access in vehicles has become widely available, and user capabilities and expectations have grown correspondingly. [0003] A telematics system in a modern vehicle not only allows the driver or passenger to interact with a smartphone or mobile device, but the system also provides its own built-in telematics functionality, including, for ex...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C5/08G06F17/30
CPCG07C5/008G07C5/02G06Q30/0201B60K35/00B60K2370/164B60K2370/592B60K2370/73
Inventor F.白D.K.格林M.奥塞拉R.A.赫拉巴克L.C.尼曼
Owner GM GLOBAL TECH OPERATIONS LLC
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