Designing and testing the messages produced by a virtual dietitian

Luca Anselma, Alessandro Mazzei


Abstract
This paper presents a project about the automatic generation of persuasive messages in the context of the diet management. In the first part of the paper we introduce the basic mechanisms related to data interpretation and content selection for a numerical data-to-text generation architecture. In the second part of the paper we discuss a number of factors influencing the design of the messages. In particular, we consider the design of the aggregation procedure. Finally, we present the results of a human-based evaluation concerning this design factor.
Anthology ID:
W18-6531
Volume:
Proceedings of the 11th International Conference on Natural Language Generation
Month:
November
Year:
2018
Address:
Tilburg University, The Netherlands
Venues:
INLG | WS
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
244–253
Language:
URL:
https://aclanthology.org/W18-6531
DOI:
10.18653/v1/W18-6531
Bibkey:
Cite (ACL):
Luca Anselma and Alessandro Mazzei. 2018. Designing and testing the messages produced by a virtual dietitian. In Proceedings of the 11th International Conference on Natural Language Generation, pages 244–253, Tilburg University, The Netherlands. Association for Computational Linguistics.
Cite (Informal):
Designing and testing the messages produced by a virtual dietitian (Anselma & Mazzei, 2018)
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PDF:
https://aclanthology.org/W18-6531.pdf