Browse Prior Art Database

Method to launch/switch app based on content type or historical use

IP.com Disclosure Number: IPCOM000234555D
Original Publication Date: 2014-Jan-17
Included in the Prior Art Database: 2014-Jan-17
Document File: 1 page(s) / 10K

Publishing Venue

Lenovo

Related People

Tony Bumarch: INVENTOR [+4]

Abstract

Task switching actions can be facilitated by machine learning.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 89% of the total text.

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Method to launch/switch app based on content type or historical use

  Existing solutions allow the user to open a file/app based on extension, but there are no methods to open data unless it is stored as a file and registered with the system.

  For example, Windows 8 has contracts (similar to Android, iOS, etc), but this requires the user to select the target app from a list of apps that implement the contract.

  This idea describes a method of learning which apps are "quick-switch" candidates and automatically launching/switching to another app if the system can identify a single app with high confidence (or show notification making it easy to switch apps). If multiple candidate quick-switch apps can be identified, show the user a list of likely candidates (a subset of all running apps). Quick-switch apps can be identified and prioritized by the user's recent or historical app switch history, copy/paste operations, etc.

Example:


The user copies image data in one app and wants to paste it into another app. When the user copies the image, the system would determine candidate applications the user would want to switch to, and present them a list of apps and/or switch to the target app if a single app can be identified. The target app would be identified using the methods above.

Quick-switch app candidates can be updated as the user changes his habits. For example, if the user typically copies spreadsheet data into Notepad, but then changes to a new text editor, the new...