2026-07-22T06:32:44Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:4642 2024-03-06T10:29:35Z ddc:004 open_access

A Task Based model for Récit Generation from Sensor Data: An Early Experiment Baez Miranda, Belén A. Caffiau, Sybille Garbay, Catherine Portet, Francois narrative generation task model real world story analysis ambient intelligence Automatic story generation is the subject of a growing research effort. However, in this domain, stories are generally produced from fictional data. In this paper, we present a task model used for automatic story generation from real data focusing on the narrative planning. The aim is to generate récits (stories) from sensors data acquired during a ski sortie. The model and some preliminary analysis are presented which suggest the interest of the approach. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Belén A. Baez Miranda and Sybille Caffiau and Catherine Garbay and Francois Portet 2014 Is Part Of OASIcs, Volume 41, 2014 Workshop on Computational Models of Narrative InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.CMN.2014.13 urn:nbn:de:0030-drops-46424 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.13 eng https://creativecommons.org/licenses/by/3.0/legalcode