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A Task Based model for Récit Generation from Sensor Data: An Early Experiment

Authors Belén A. Baez Miranda, Sybille Caffiau, Catherine Garbay, Francois Portet

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Belén A. Baez Miranda
Sybille Caffiau
Catherine Garbay
Francois Portet

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Belén A. Baez Miranda, Sybille Caffiau, Catherine Garbay, and Francois Portet. A Task Based model for Récit Generation from Sensor Data: An Early Experiment. In 2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. 13-23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014) https://doi.org/10.4230/OASIcs.CMN.2014.13

Abstract

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.

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Keywords
  • narrative generation
  • task model
  • real world story analysis
  • ambient intelligence

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