UPDF AI

OlloBot - Towards A Text-Based Arabic Health Conversational Agent: Evaluation and Results

Ahmed Fadhil,Ahmed Ghassan Tawfiq AbuRa'ed

2019 · DOI: 10.26615/978-954-452-056-4_034
Recent Advances in Natural Language Processing · 36 Citations

TLDR

The design, development and testing of OlloBot, an Arabic conversational agent that assists physicians and supports patients with the care process and offers useful tips for healthier living are discussed.

Abstract

We introduce OlloBot, an Arabic conversational agent that assists physicians and supports patients with the care process. It doesn’t replace the physicians, instead provides health tracking and support and assists physicians with the care delivery through a conversation medium. The current model comprises healthy diet, physical activity, mental health, in addition to food logging. Not only OlloBot tracks user daily food, it also offers useful tips for healthier living. We will discuss the design, development and testing of OlloBot, and highlight the findings and limitations arose from the testing.