RT journal article
T1 Quantitative Characteristics of Human-Written Short Stories as a Metric for Automated Storytelling
A1 León, Carlos
A1 Gervás, Pablo
A1 Torre Moreno, Pablo de la
A1 Tapscott, Allan
A2 Ingeniería Informática
K1 Empirical quantification
K1 Narrative features
K1 Story components
K1 Story metrics
K1 Story evaluation
AB Evaluating the extent to which computer-produced stories are structured like human-invented narratives can be an important component of the quality of a story plot. In this paper, we report on an empirical experiment in which human subjects have invented short plots in a constrained scenario. The stories were annotated according to features commonly found in existing automatic story generators. The annotation was designed to measure the proportion and relations of story components that should be used in automatic computational systems for matching human behaviour. Results suggest that there are relatively common patterns that can be used as input data for identifying similarity to human-invented stories in automatic storytelling systems. The found patterns are in line with narratological models, and the results provide numerical quantification and layout of story components. The proposed method of story analysis is tested over two additional sources, the ROCStories corpus and stories generated by automated storytellers, to illustrate the valuable insights that may be derived from them.
PB SPRINGER
SN 0288-3635
YR 2020
FD 2020
LK http://hdl.handle.net/10498/23974
UL http://hdl.handle.net/10498/23974
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 13-nov-2026