Evaluating Analogy-Based Story Generation: An Empirical Study
Jichen Zhu, Santiago Ontañón · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment · 2013
Evaluation is one of the major open problems in computational narrative. In this paper, we present an empirical study of SAM, an analogy-based story generation (ASG) algorithm, that was created as part of our Riu interactive narrative system. Specifically, our study focuses on SAM's capability to retrieve and generate short non-interactive stories. Combining qualitative and quantitative methods from different disciplines, the methodology in this study can be extended to evaluating other computational narrative systems.