Laboratory of Informatics of Grenoble Engineering Human-Computer Interaction Research Group

Engineering Human-Computer Interaction
Research Group

Task based model for récit generation from sensor data: an early experiment

In 2014 Workshop on Computational Models of Narrative (CMN'14). pages 13-23. 2014.

Belén A. Baez Miranda, Sybille Caffiau, Catherine Garbay, François Portet

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.