Browse Prior Art Database

Automatic screen swipe during user's photographs browsing session

IP.com Disclosure Number: IPCOM000250388D
Publication Date: 2017-Jul-10
Document File: 3 page(s) / 41K

Publishing Venue

The IP.com Prior Art Database

Abstract

Method for learning personalized screen swiping patterns by tracking the user's screen swiping patterns during photo view (browse) sessions, including mining the properties of the photos themselves. Using such learned patterns, once the user starts swiping the screen for browsing her photos, an automatic screen swiping process will replace the user's need to keep changing the view by manual swiping.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 53% of the total text.

Automatic screen swipe during user's photographs browsing sessionMethod for learning personalized screen swiping patterns by tracking the user's screen swiping patterns during photo view (browse) sessions, including mining the properties of the photos themselves. Using such learned patterns, once the user starts swiping the screen for browsing her photos, an automatic screen swiping process will replace the user's need to keep changing the view by manual swiping.

The invention has two main components: Photo Screen Swipe Patterns Learner which tracks the user's screen swipe patterns and the photos that are being viewed so as to learn patterns, and Automatic Screen Swiper which acts upon user's repeating screen swiping behavior after several such operations and automatically swipes photos for the user. The following are few more technical details on the two components and the interaction between them. • Photo Screen Swipe Patterns Learner (PSSPL): tracks and records the following

data: • Length of user swipe pattern (e.g., time, number of photos being swiped in a

single session) • Swipe frequency. • Photo properties: type, tags, entities (this is used to personalized the swipe

pattern based on photo types, etc.) • For each photo: how much time the user stare at it, whether photo was zoomed

in or not.

Using data mining methods such as Sequential Association Mining (or any other Temporal or Sequential pattern mining techniques, e.g., HMM) it is possible to learn per photo types, etc what is the swipe pattern that should be used to automate the swipe operation for the user (e.g., for photos of family event, photos should be auto-swiped every 10 seconds, trip photos should be auto-swiped every 20 seconds, etc.). • Automatic Screen Swiper: tracks the current user's screen photo swiping (view)

session and after several manual swipes starts to automate the swipe operations for the user given the pattern that was detected by the PSSPL component (e.g., simulating a finger that auto-swipe the screen for the user). When such automated swiping begin a message on screen can be displayed to let the user know that auto-swipe was activated (and an option to turn it off can be further given). Auto-swipe option can be configured as part of the user's device profile so as to completely ignore the feature or always use it, etc.

Mobile devices (including other touchable screen devices such as tablets) allow to change the current view of the screen by "screen swipe" user gesture . A user can change one view to another by swiping the screen to the left or right with her finger.

Today, during photo browsing, a user has to manually swipe the screen for each and each photo the user wish to view. In this disclosure we propose an approach for learning how to automatically swipe the screen for he user during photo browsing sessions.

Illustration: a screen swipe operation. Screen swiping in mobile devic...