Evaluation is one of the major open problems in Interactive Digital Storytelling (IDS) research. As narrative systems grow in their capacities, the community needs a set of well-designed evaluation methods and criteria that can bring insights on the systems as well as the stories they provide. In this short paper, we examine existing evaluation methods in the area of generative narrative system, and identify several important properties of stories and reading that have so far been overlooked in empirical studies. We present our preliminary work of developing a more interdisciplinary evaluation approach that takes into account both the system and cultural aspects of the computational narrative system Riu. © 2012 Springer-Verlag Berlin Heidelberg.
Zhu, J. (2012). Designing an interdisciplinary user evaluation for the Riu computational narrative system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7648 LNCS, pp. 126–131). Springer Verlag. https://doi.org/10.1007/978-3-642-34851-8_12