18149347. SELECTIVE AUGMENTED REALITY OBJECT REPLACEMENT simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

SELECTIVE AUGMENTED REALITY OBJECT REPLACEMENT

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Tushar Agrawal of West Fargo ND (US)

Jeremy R. Fox of Georgetown TX (US)

Raghuveer Prasad Nagar of Kota (IN)

Sarbajit K. Rakshit of Kolkata (IN)

SELECTIVE AUGMENTED REALITY OBJECT REPLACEMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18149347 titled 'SELECTIVE AUGMENTED REALITY OBJECT REPLACEMENT

Simplified Explanation: The patent application describes a system that replaces physical objects with virtual objects in augmented reality based on user location and preferences.

• AI systems learn user preferences for location clusters and derive object preferences based on location.
• Preferences for objects within each location cluster are determined using various data sources.
• Algorithms predict user engagement with objects in a location cluster and replace uninteresting objects with new ones in AR environments.
• Users can purchase replacement objects through the AR interface.

Key Features and Innovation:

• Selective replacement of physical objects with virtual objects in augmented reality.
• AI systems learn user preferences and predict user engagement with objects.
• Algorithms determine object preferences based on location data, purchase histories, IoT data, social media, and communication data.
• Users can purchase replacement objects through the AR interface.

Potential Applications: This technology could be used in retail environments, museums, entertainment venues, and educational settings to enhance user experiences.

Problems Solved: This technology addresses the challenge of keeping AR environments engaging by replacing uninteresting objects with more appealing ones based on user preferences.

Benefits:

• Enhanced user experience in AR environments.
• Personalized object recommendations based on user preferences.
• Increased user engagement with virtual objects.

Commercial Applications: Potential commercial applications include AR shopping experiences, interactive museum exhibits, virtual tours, and personalized advertising.

Prior Art: Readers can start searching for prior art related to this technology in the fields of augmented reality, artificial intelligence, and user experience design.

Frequently Updated Research: Stay informed about the latest research in augmented reality, artificial intelligence, and user behavior analysis to enhance the capabilities of this technology.

Questions about AR Object Replacement: 1. How does the system determine user preferences for object replacement in AR environments? 2. What data sources are used to predict user engagement with virtual objects in different location clusters?

Original Abstract Submitted

An approached is disclosed that selectively replaces physical objects with virtual objects viewable in augmented reality. Selective replacement is based on user location and corresponding preferences mapped to location clusters. AI systems learn user preferences for location clusters and derive object preferences for users depending on location. Preferences and priorities for objects within each location cluster are derived using location data, purchase histories, IoT data, social media, communication data and other data sources. AI systems implement algorithms to predict levels of engagement between users and objects of a particular location cluster and as objects around the user are predicted to be uninteresting to the user, uninteresting objects may be replaced within AR environments using AR image overlay techniques with new objects having an interest rating above a threshold level. Replacement objects are purchasable through the AR interface, whereby users select objects to purchase and initiate delivery.