A Thematic Approach to Emerging Narrative Structure Charlie Hargood David E. Millard Mark J. Weal Learning Societies Lab Learning Societies Lab Learning Societies Lab School of Electronics and School of Electronics and School of Electronics and Computer Science Computer Science Computer Science University of Southampton University of Southampton University of Southampton +44 (0)23 8059 7208 +44 (0)23 8059 5567 +44 (0)23 8059 9400
[email protected] [email protected] [email protected] ABSTRACT information representation that are well established as an In this paper we look at the possibility of using a thematic model engaging way of representing an experience. Narrative generation of narrative to find emergent structure in tagged collections. We is a field that seeks to explore alternative representations of propose that a thematic underpinning could provide the narrative narrative, and investigate the possibility of automatically direction which can often be a problem with stories from existing generating custom stories from information collections. There are narrative generation methods, and present a thematic model of a wide variety of different techniques for narrative generation narrative built of narrative atoms and their features, motifs and ranging from structured narrative grammars to emergent themes. We explore the feasibility of our approach by examining narratives. However the narratives generated can seem flat, how collaborative tags in online collections match these lacking engagement and direction. properties, and find that while tags match across the model the In our work we are exploring a thematic approach to solving some majority are higher level (matching broader themes and motifs of the problems with narrative generation.