We devise a scenario where the interaction between man and food is mediated by an intelligent system that, on the basis of various factors, encourages or discourages the user to eat a specific dish. The main factors that the system need to account for are (1) the diet that the user intends to follow, (2) the food that s/he has eaten in the last days, and (3) the nutritional values of the dishes and their specific recipes. Automatic reasoning and Natural Language Generation (NLG) play a fundamental role in this project: the compatibility of a food with a diet is formalized as a Simple Temporal Problem (STP), while the NLG tries to motivate the user. In this paper we describe these two facilities and their interface.
CITATION STYLE
Anselma, L., & Mazzei, A. (2015). Towards diet management with automatic reasoning and persuasive natural language generation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9273, pp. 79–90). Springer Verlag. https://doi.org/10.1007/978-3-319-23485-4_8
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