TY - JOUR AU - Zhu, Jichen AU - Ontanon, Santiago PY - 2021/06/30 Y2 - 2024/03/28 TI - Evaluating Analogy-Based Story Generation: An Empirical Study JF - Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment JA - AIIDE VL - 9 IS - 1 SE - Poster Papers DO - 10.1609/aiide.v9i1.12674 UR - https://ojs.aaai.org/index.php/AIIDE/article/view/12674 SP - 198-204 AB - <p> 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. </p> ER -