INTERNATIONAL BUSINESS MACHINES CORPORATION (20240221060). SELECTIVE AUGMENTED REALITY OBJECT REPLACEMENT simplified abstract

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 20240221060 titled 'SELECTIVE AUGMENTED REALITY OBJECT REPLACEMENT

The disclosed approach selectively replaces physical objects with virtual objects viewable in augmented reality based on user location and preferences mapped to location clusters. AI systems learn user preferences and derive object preferences for users depending on location using various data sources. Algorithms predict user engagement levels with objects in location clusters and replace uninteresting objects with new ones above a certain interest rating threshold.

• Selective replacement of physical objects with virtual objects in augmented reality
• User location and preferences mapped to location clusters
• AI systems learn and derive user preferences for objects based on location
• Predicting user engagement levels with objects in location clusters
• Replacement of uninteresting objects with new ones above a certain interest rating threshold

1. 1. 1. Potential Applications

This technology could be applied in retail environments, museums, tourism, and entertainment venues to enhance user experiences by providing personalized virtual objects based on location and preferences.

1. 1. 1. Problems Solved

This technology addresses the issue of user engagement with physical objects in augmented reality environments by dynamically replacing uninteresting objects with more appealing ones.

1. 1. 1. Benefits

The benefits of this technology include increased user engagement, personalized experiences, and the ability to tailor virtual objects to individual preferences in different locations.

1. 1. 1. Commercial Applications

"Augmented Reality Object Replacement System for Personalized Experiences" could be utilized in retail stores to showcase virtual products, in museums to provide interactive exhibits, and in tourism to offer virtual tours with customized content.

1. 1. 1. Prior Art

Prior art related to this technology may include research on augmented reality systems, personalized content delivery, and user engagement in virtual environments.

1. 1. 1. Frequently Updated Research

Researchers are constantly exploring ways to improve user interactions with augmented reality environments, including personalized object replacement systems.

1. 1. 1. 1. Questions about Augmented Reality Object Replacement System for Personalized Experiences

1. How does this technology impact user engagement in different locations?

  - This technology enhances user engagement by providing personalized virtual objects based on location and preferences.

2. What data sources are used to derive user preferences for object replacement?

  - Data sources such as location data, purchase histories, IoT data, social media, and communication data are used to derive user preferences for object replacement.

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.