Can a Chatbot Determine My Diet?: Addressing Challenges of Chatbot Application for Meal Recommendation
arXiv:1802.09100
Abstract
Poor nutrition can lead to reduced immunity, increased susceptibility to disease, impaired physical and mental development, and reduced productivity. A conversational agent can support people as a virtual coach, however building such systems still have its associated challenges and limitations. This paper describes the background and motivation for chatbot systems in the context of healthy nutrition recommendation. We discuss current challenges associated with chatbot application, we tackled technical, theoretical, behavioural, and social aspects of the challenges. We then propose a pipeline to be used as guidelines by developers to implement theoretically and technically robust chatbot systems.
6 pages
References in corpus (1)
Cited by in corpus (5)
- How should my chatbot interact? A survey on human-chatbot interaction design
- Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
- Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
- CoachAI: A Conversational Agent Assisted Health Coaching Platform
- Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph