20240020747. CONCURRENT VISUALIZATION TOOL USING AUGMENTED REALITY TO IMPROVE DECISION MAKING simplified abstract (Wells Fargo Bank, N.A.)

CONCURRENT VISUALIZATION TOOL USING AUGMENTED REALITY TO IMPROVE DECISION MAKING

Organization Name

Wells Fargo Bank, N.A.

Inventor(s)

Waverly W. Chao of San Francisco CA (US)

Haritha Devarajan of Dublin CA (US)

Thomas E. Gross of San Anselmo CA (US)

Kristine Ing Kushner of Orinda CA (US)

Muhammad Farukh Munir of Pittsburg CA (US)

Pamela M. Murphy of Walnut Creek CA (US)

CONCURRENT VISUALIZATION TOOL USING AUGMENTED REALITY TO IMPROVE DECISION MAKING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240020747 titled 'CONCURRENT VISUALIZATION TOOL USING AUGMENTED REALITY TO IMPROVE DECISION MAKING

Simplified Explanation

The patent application describes a method for generating recommendation data based on visual data received from an augmented reality (AR) device. The method involves determining a product identifier associated with the visual data and generating recommendation data based on the product identifier. The recommendation data includes information about an item and a timeline associated with purchasing the item.

• The method starts by receiving visual data from an AR device, which represents the view through the device's viewing area.
• The visual data is analyzed to determine a product identifier, which is associated with the visual data.
• Based on the product identifier, recommendation data is generated. This data includes information about an item and a timeline for purchasing the item.
• To determine the affordability of the item, several factors are considered. These include the user's defined budget, the price of the item, purchase data associated with a previous purchase, and the user's account information.
• An affordability value is calculated based on these factors, indicating whether the purchase of the item is feasible within the user's timeline and budget.
• The recommendation data is generated based on the affordability value and sent back to the AR device for display.

Potential applications of this technology:

• Personalized shopping experiences: The method can be used to provide personalized recommendations to users based on their visual data and affordability. This can enhance the shopping experience and help users make informed purchasing decisions.
• Augmented reality advertising: Advertisers can utilize this method to display targeted recommendations to users through AR devices, increasing the effectiveness of their advertising campaigns.

Problems solved by this technology:

• Decision-making assistance: The method helps users make purchasing decisions by providing them with relevant information and recommendations based on their visual data and affordability.
• Budget management: By considering the user's defined budget and affordability, the method helps users manage their finances and avoid overspending.

Benefits of this technology:

• Enhanced shopping experience: Users can receive personalized recommendations based on their preferences and affordability, making their shopping experience more efficient and enjoyable.
• Financial management: The method helps users stay within their budget and make informed purchasing decisions, promoting better financial management.

Original Abstract Submitted

a method comprising: receiving, from an augmented reality (ar) device, visual data representing a view through a viewing area of the ar device; determining, based on the visual data, a product identifier associated with the visual data; generating recommendation data based on the product identifier, comprising: discovering an item and a timeline associated with purchasing the item; comparing a user defined budget, a price of the item, purchase data associated with a purchase of an object included in the visual data, and an account of the user to determine an affordability value, wherein the affordability value indicates whether the purchase of the object prevents the user from purchasing the item in accordance with the timeline and the budget; and generating the recommendation data based on the affordability value; and sending the recommendation data to the ar device to cause the ar device to display the recommendation data.