Influence of Personality-Based Features for Dialogue Generation in Computational Narratives

Weilai Xu, Fred Charles, Charlie Hargood, Feng Tian, Wen Tang

Abstract: In this paper, we present an approach for generating dialogues for characters within the context of computational narratives using personality-based features for deep neural networks. The approach integrates the requirements of both narrative genres and personality traits for the definition of character-based stylistic models. The modelling of characters’ features from existing datasets of complete stories permits the generation of personality-rich character dialogues. We present early results from an evaluation based on a sample of characters’ personality traits across different narrative genres, demonstrating variability in the resulting dialogues.