Towards a robotic dietitian with adaptive linguistic style

摘要

This work outlines a concept and the necessary building blocks for creating a persuasive and personalized robotic dietitian for everyday health-related support based on existing technology and recent research insights.Key components include natural language generation for the social robot's linguistic style, mobile sensing hardware for tracking nutrition, and machine learning for adaptation.