Avatar-based augmented reality engagement

• US 10,222,857 B2
• Filed: 06/12/2018
• Issued: 03/05/2019
• Est. Priority Date: 04/07/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bastide, Paul R., Broomhall, Matthew E., Loredo, Robert E., Srinivasan, Sathyanarayanan
• Primary Examiner(s): Lhymn, Sarah
• Application Number:
  US16/005,942
• Publication Number:
  US 20180292894A1
• Time in Patent Office: 266 Days
• Field of Search: 345619, 345632, 345633
• CPC Class Codes: A63F 13/00 Video games, i.e. games using an electronically generated display having two or more dimensions gaming systems which provide a financial reward G07F17/32
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/04847 Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06T 13/205 driven by audio data
• CPC Class Codes: G06T 13/40 of characters, e.g. humans, animals or virtual beings

Abstract

A method, computer system, and computer program product for determining an engagement level of an individual is provided. The present invention may include capturing a plurality of image data depicting a relative location of a user. The present invention may also include identifying an individual within the captured image data. The present invention may further include gathering a plurality of engagement level indicator data associated with the identified individual. The present invention may also include calculating a current engagement level of the identified individual using the plurality of gathered engagement level indicator data.

Claims

1. A computer program product for determining an engagement level of an individual, the computer program product comprising:

one or more computer-readable tangible storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor of a computer to perform a method, the method comprising;

detecting, by a processor, a user intent to engage with another individual based on a user interaction with an augmented reality device;

receiving a user-designated topic in which a user wishes to engage with one or more individuals;

capturing a plurality of image data depicting a current user view using an image capture device associated with an augmented reality device;

identifying an individual within the captured image data using facial recognition, a social media location check-in, and a plurality of livestreaming information;

generating a profile for each identified individual;

storing the generated profile in a repository;

gathering a plurality of engagement level indicator data associated with the identified individual, wherein the plurality of engagement level indicator data is a plurality of data used to determine an individual'"'"'s interest in engaging with a user in the user-designated topic;

storing the gathered plurality of engagement level indicator data in the generated profile;

calculating a current engagement level of the identified individual using the plurality of gathered engagement level indicator data and a variability of conversation of the identified individual with one or more other individuals, wherein a variability of conversation is categorical or physical, and wherein a categorical variability of conversation establishes a percentage chance with which a conversation varies from the user-designated topic, and a physical variability of conversation weighs a plurality of physical criteria to determine a likelihood the user will enter into a conversation with the identified individual; and

generating a relative engagement model using the calculated current engagement level;

wherein the generated relative engagement model is an analytical model that shows an engagement of the identified individual compared to one or more other individuals within captured plurality of image data.