Browse Prior Art Database

Menu Visualization based on Viewer Profile

IP.com Disclosure Number: IPCOM000246657D
Publication Date: 2016-Jun-24
Document File: 2 page(s) / 25K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system that provides an optimized visualization of a restaurant/food vendor menu based on the user's cognitive profile.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 52% of the total text.

Page 01 of 2

Menu Visualization based on Viewer Profile

When ordering in a restaurant, it may take a while for a person to make a decision because of the number of factors to consider, for example the taste and food preferences, dietary needs and restrictions, or budget limitations.

A system is needed that can utilize sensing technologies and digital collections of personal information available through the Internet of Things (IoT) to dynamically change the menu visualization based on a user profile.

The novel contribution is a system that provides an optimized visualization of a restaurant/food vendor menu based on the user's cognitive profile. The system builds the user's cognitive profile based on:


 Detection of past orders, special orders (e.g., no mushrooms)


 Likes/dislikes, etc.


 Occasion (e.g., birthday, anniversary, etc.)


 Identification of others in proximity to the user (e.g., user is with a friend that has a peanut allergy)

The system connects the cognitive profile and is then able to dynamically alter the presentation of the menus to improve the user's ordering experience.

In an example embodiment, User A's cognitive profile identifies that the User A does not like mushrooms. As a result, the system displays a menu that removes all dishes that contain mushrooms, showing only mushroom-free items and any that contains mushrooms but are available without mushrooms.

The steps for implementing the system for menu visualization based on viewer profile are:

1. Restaurant is using digital technology to display the menu to customers 2. Restaurant determines settings in order for the display to rearrange/display menu items 3. System identifies that a customer is looking at a specific digital menu 4. Digital menu detects the person that is looking at the menu (not claimed as novel). This can be done many ways, such as:

A. Bluetooth*

B. Location...