BeverageMaster: Smart Beverage Ordering Assistant

Document Type

Conference Proceeding

Source of Publication

2022 14th Annual Undergraduate Research Conference on Applied Computing (URC)

Publication Date

11-24-2022

Abstract

Common approaches to food and beverage ordering services in the UAE include mobile, web applications, and phone calls. These approaches are successful in practice but can be inaccessible or costly. For instance, many mobile and web applications can be inaccessible to visually impaired customers. Assigning employees to answer phone calls from customers can be costly, and ineffective at peak times. This paper contributes, BeverageMaster, a system that is designed with usability principles in mind. The system helps customers order beverages by interacting with a virtual assistant. The system uses DialogFlow, a natural language understanding platform, to build voice-based interactions with users. The interactions allow customers to customize their order in terms of type, size, quantity, and ingredients. We plan to usability test the system and collect feedback from potential users.

ISBN

979-8-3503-4680-0

Publisher

IEEE

Volume

00

First Page

1

Last Page

4

Disciplines

Computer Sciences

Keywords

Virtual assistants, Chatbots, Usability

Indexed in Scopus

no

Open Access

no

Link to Full Text

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